Microsoft Fabric Job Listings – Ep. 394
In this episode, Mike and Tommy unpack a mailbag question: why are there still so few job listings that explicitly ask for Microsoft Fabric? They break down what’s really happening in the market today and how both job seekers and hiring managers should think about Fabric skills as adoption ramps up.
News & Announcements
FabCon 2025 is on the horizon, and the team shares a partner discount tip for registration (select Microsoft Partner, enter PowerBI.tips, and use code PARTNER200 to save $200).
- Get started with goals in Power BI (Scorecards) — Microsoft’s updated documentation walks through the Scorecards hub and how to create and manage goals in the Power BI service. If your org is leaning into OKRs/KPIs, this is a solid reference for understanding licensing requirements and the core workflow for authoring, sharing, and checking in on goals.
Main Discussion: Why Fabric Isn’t Showing Up in Job Postings (Yet)
The mailbag question is simple on the surface: if Fabric is such a big bet from Microsoft, why don’t we see it called out more often on LinkedIn/Indeed job listings?
Mike and Tommy’s take: this looks a lot like the early Power BI years. Tools evolve faster than the hiring market’s vocabulary, and job descriptions tend to lag behind what teams are actually building.
The hiring market trails the tech (Power BI déjà vu)
Tommy points back to how long it took for “Power BI” to become a first-class keyword in job requirements. Early on, companies still hired for broad “Business Intelligence” roles and expected candidates to bring foundational skills (SQL, modeling, Python/R, etc.), even if Power BI was part of the stack.
Fabric is in a similar phase: many teams are adopting capabilities (lakehouse patterns, pipelines, governance, semantic models) without updating the job title or the job description to say “Microsoft Fabric.”
Fabric often lives inside broader roles
A key theme is that Fabric doesn’t always map cleanly to a single role in an org. A Fabric implementation can touch:
- BI and semantic modeling (Power BI)
- Data engineering (ingestion, transformation, orchestration)
- Platform administration and governance (workspaces, security, capacity)
Because of that, companies may keep posting for familiar roles—“Data Engineer,” “BI Developer,” “Analytics Engineer,” “BI Platform Admin”—and treat Fabric as a preferred toolset rather than a hard requirement.
Why “Fabric experience” doesn’t show up as a requirement
Mike and Tommy discuss a few practical reasons this keyword might be missing from listings today:
- Early-stage adoption: many orgs are still piloting or scaling from initial wins, and the headcount plan follows later.
- Recruiter/job template inertia: job postings often get copied forward with minor edits; the tool changes, but the requirements list doesn’t.
- Foundations matter more than product names: teams still screen for core skills (data modeling, SQL, pipelines, governance) and assume the platform specifics can be learned.
Advice for job seekers: translate Fabric into fundamentals
If you’re trying to land a role where Fabric is part of the stack, the recommendation is to “speak both languages”:
- Use the common job-title keywords (data engineering, BI, analytics) so you show up in searches.
- Also include Fabric-specific terms where you have real experience (Lakehouse, Warehouse, notebooks, pipelines, Git integration, semantic models, RLS/OLS, deployment pipelines, capacity).
- Most importantly, be ready to explain the outcomes you delivered (reduced refresh times, simplified architecture, improved governance, enabled self-service) rather than leading with product branding.
Looking Forward
The prediction is that Fabric-specific language will become more common as adoption matures and organizations feel the pain that forces clearer ownership (platform administration, governance, cost/capacity management, and standardized engineering practices). Until then, expect Fabric work to show up inside broader roles—and often through consulting/contract engagements as teams bring in specialists to accelerate implementations.
Episode Transcript
0:35 good morning everyone and welcome back to the explicit measures with Tommy and Mike well good morning Mike how you doing Mikey Dar Carlo you’re feeling pretty bouncy this morning you’re moving around on the camera you’re dancing a little bit what’s going on well what Mike I am so happy with people who listen to us we have a mailbag people may not know about that and people are submitting awesome awesome questions I think I think it’s becoming it means people are engaged they’re really trying to understand like topics or they’re working through this is exactly what we wanted to do is to talk more about those
1:06 wanted to do is to talk more about those water cooler conversations ask things that are extremely relevant and talk through just all the process and people side of how you work with fiber the technology stuff is fun we enjoy the technology part but the other side of things is actually very cool as well yeah and we love the debate and I think someone people are just asking putting questions together where they’re just putting fodder to the fire like I know they’re going to argue about this one I’m just put that out there and let that fire burn well I’m for yeah Sparks will fly Sparks
1:36 well I’m for yeah Sparks will fly Sparks will fly there we go we’ll say that today’s topic today is a great a great let’s put that again today’s question today is actually a mailbag and the question really CS around why are there so few job listings inside fabric which is pretty interesting so we’ll see how that turns out we’ll go from there but before we get into that let’s talk about some upcoming events the Microsoft fabric conference is coming to fabcon
2:06 to fabcon 2025 so fabcon is 2025 happening in Las Vegas that’s fabric conference and if you’d like there’s going to be some information down in the description of this video if you want $200 off of your fabric conference tickets please use the Microsoft partner area and type in powerbi tips where we’re Microsoft partner and we can give you $200 off by using partner 200 inside the purchase agreement of the fabric conference Tommy have you had a chance to go to fabric conference yet no this
2:37 to go to fabric conference yet no this will actually be my first year this year so I am stoked about it and it was in Vegas last year too right it was I think last year was the initial fabric conference kickoff and then they have since done one in Europe I also had the opportunity to go to Europe I believe that was in Stockholm both conferences were very well done super fun to be around a lot of great people met tons of fans of fabric and just great conversations the cities were great it was easy to get around so highly would recommend it if you’re not
3:08 highly would recommend it if you’re not planning on tending I would definitely recommend you go both conferences both fabric Las Vegas and Fa fabric Stockholm a lot of major announcements were coming out so not that Microsoft holds back per se but there is there maybe is like a little bit of like they don’t tell you things are coming until right before the event and then the day of the event they actually do a lot more with Distributing and sharing like new features new content things the community wants so they’re also excited to attend just because they do a lot of great announcements around the product
3:39 great announcements around the product which is extremely fun as well and you want a conference to be that because Mike I feel like you and I have been to a the whole spectrum of conferences where it’s business Summit or night till like once that felt like a glorified User Group you’re like okay I have traveled to North Carolina for this it’s fine but I like I love the fact too like if you’re going to go travel to conference you want something there that you wouldn’t be able to do just sitting on your office and seeing so I love that yeah I yeah agree and it’s yes it’s very
4:10 yeah I yeah agree and it’s yes it’s very cool to be there at the community but it’s a lot of speakers from the community right that’s that’s the fun part of this you get to meet other people either in your area or around other things that you do and U you make lots of really great connections take the opportunity to meet other people explore talk be open about what you’re doing and what your projects you’re working on because you’re going to likely find other passionate people that are either have done this the same thing you have or a step two ahead of where you are and you can really learn from them of what what was working and what is not working so very great conference highly would recommend it super fun
4:40 highly would recommend it super fun all right that for with that I’d like to Adventure here a little bit more over to an area called beat from the street this is like our lessons we’ve learned as we were actually playing around and working on things I just recently did a workshop around metric sets metric sets was recently released it’s been out for like a maybe a month a little bit longer than that but metric sets are exciting have you had a chance to play with building some Metric sets Tommy what are your what are your initial thoughts around a metric set so first I
5:11 thoughts around a metric set so first I think there’s two quick things it’s the concept and the actual pract the implementation of it the concept here to me when I when they first announced this was automatic Game Changer because this would really change where people go to look at their numbers that’s really the idea here it’s not just a data catalog we’ve talked about that a few times but this could be a primary point where people are going to say hey what’s our members what’s our sales it’s going to be it could be in the metric set now the actual implementation I’m
5:41 set now the actual implementation I’m loving more and more what they’re doing here there’s some things I obviously would like to enhance or would modify if I was the creator and my hands were on this but yeah but there’s a li I were on this but yeah but there’s a li there all things there’s probably mean there all things there’s probably like a ton of things that they wish they could have built but didn’t have time to build or had to cut features to get it out this is the challenge every time with software right do you do you wait and hold back the feature until everything’s perfect or do you get a feature out there that works decently enough that people can understand the
6:11 enough that people can understand the vision for it and then you slowly add features over time I think it’s a very tough challenge because Microsoft has so many competing directions they need to move with fabric that it’s how do you consolidate down to just a couple teams with all the how do you consolidate down to just a couple teams with all the resources that you need to get it done we’re not going to Best Buy and getting the CD of fabric waiting for that c fabric 2025 to come out like oh the new version’s out that doesn’t happen no I I love metric sets it’s one I actually
6:41 love metric sets it’s one I actually have a project working on that I’m going to introduce the concept to them go hey I know based on what you’re talking about this actually makes a lot of sense so tell I but I’m interested much Mike on this Workshop that you did and where you’re going with this yeah so let me when I did the workshop I just really thought about how you build a metric set so let me give you just a little bit of context here so when you build a metric inside a metric set you start the metric set you have an owner you have a description I love all the additional like metadata that goes along with it the fact that they’re
7:11 along with it the fact that they’re clearly calling out who owns individual metrics makes a ton of sense right Tom we’ve also talked a lot about this ownership if you’re building a measure who owns that measure who defines the measure if there’s a problem with it or doesn’t if someone has questions around what that measure is doing again we want to delegate responsibility to someone who needs to own the output of that metric okay fine that might be a bit nuanced because you’re like well do I need to Define every single measure and every single model okay I would probably argue the responsibility is more of a holistic
7:42 the responsibility is more of a holistic perspective of everyone the person who makes the model is responsible for the the measures that are in it but in the metric sets you you build entirely differently my mindset this is my mental model when I build a semantic model and in desktop I’m thinking about what Dimensions do I care about dates product categories like I’m thinking about the dimensions and so as I think about the data Cube that I’m producing with my data set I start with the dimensions and then I start thinking about how I’m going to link those
8:12 about how I’m going to link those Dimensions down to one or two or three fact tables in the main data model right so as I as that model grows in size you so as I as that model grows in size often you don’t really want to know often you don’t really want to share the entirety of the whole model to users right if you have two fact tables and some iions modify one fact table and some don’t modify the second fact table you come into a problem where users can drag Dimensions onto a report page and the measures just won’t work because the measures don’t have a
8:42 because the measures don’t have a relationship to each other that it the model can produce a data or the measure can be calculated but there’s no filtering being applied so the number repeats itself these are common problems and you can build your measures to be smarter to not show if they’re don’t have the right filter context that’s a lot on the report author side of things so again my mindset is build Dimensions build down to the fact table it’s kind build down to the fact table it’s that waterfall effect sure when you of that waterfall effect sure when you build metric sets you start with the measure the measure is the starting point so I have a numerical column
9:13 point so I have a numerical column whatever that may be and the measure is what I build around I pick the measure and the the tool physically makes you pick a single measure to start with and once you have that measure then you go pick the dimensions that you need so this is a total mindset and this is all off of the already existing semantic model we’re not building new measures here this isn’t this is no you choose a measure from an existing semantic model yes yes you’re not you’re you’re taking
9:44 yes yes you’re not you’re you’re taking a model that someone or you have already built yeah and you’re going through and so every metric in the metric set is a single measure so the idea is here’s the calculation I’m going to do I’m going to do sum of the column called sales or sales numbers right sales and dollars maybe what that’s what you’re doing well then you take that measure and you start thinking the reverse Direction which is not how I typically think when I build models start at the measure and say okay which Dimensions make the most sense to
10:15 which Dimensions make the most sense to answer questions around the sales numbers right and it also forces you when you think about metric sets you when you think about metric sets the metric for sum of sales the know the metric for sum of sales the total sales well that’s one metric by itself and you can think okay okay I want to I want to cut that date I want to know how many sales did I have this month how many I have last month how many I have over time right that makes sense for that that metric but as soon as you introduce something else like I’d like to understand the percent change of this month to last month that forces you
10:46 this month to last month that forces you to think about well the single metric you have doesn’t work anymore you actually have to build a new measure which is your second metric to go do your time comparisons so you’re going to have metric that are single point you
11:01 have metric that are single point you have metric that are single point single point aggregations basically know single point aggregations basically and you’re going to have other metrics that are comparison metrics right what is this month compared to last month what is this year to date versus last year to date right there’s comparison metrics so I think there’s actually it’s helping me in my mental model reclassify additional measures and thinking about them in a different way and so the other interesting thing I found out while doing this class and really diving into the documentation and what they’re building
11:31 documentation and what they’re building was you can actually have a metric set that spans multiple semantic models so metric one can come from Model A Metric two can come from Model A but metric number three can come from model B or C right so you can start building the metric set that has different models all stuck together inside the metric set and so what this what does this give you this gives you the ability to now create a metric set that has multiple semantic
12:02 a metric set that has multiple semantic models pulling data together and you can now build that into potentially build that into reports where you actually have a true like dashboard page right I look at my business I have three different domains of data HR sales marketing right those could be my I could have three separate semantic models and I could try and start pulling all the metrics from each of those models together to build out what I need there’s definitely some limitations you want to read those if you go learn more about metric sets but that’s
12:33 about metric sets but that’s what I was unpacking pretty neat I’m I’m really liking this feature I don’t think it’s going to be as widely used as you thought initially Tommy I think it’s going to take a little bit more time for to grow adoption but I think it I will it almost feels like we’re doing a little bit of like the Master model and like a mini model like hey here’s the Master model has everything in it here’s a SM here’s a subset of smaller things that you should care about as a business Builder so if you things here first my gentleman’s bet with Microsoft begins when it becomes
13:03 with Microsoft begins when it becomes GA so I got time so you’re gonna win yeah but the Epiphany you had is eerily similar to the one that I had as well when I started CR like oh well I have to approach this differently I really there’s two approaches with the metric set to your point that you could do one is I’m doing a metric set a collection of Department level met measur me or metc that are important to them or the one that you I haven’t really thought of
13:33 one that you I haven’t really thought of yet was if I’m creating let’s say a metric set around a you a corporate kpi right like sales or something that the whole company looks at well the metrics in there would only make sense to your point if they comparison if it’s year to date because looking at the last three years that that number is not going to help anyone because that’s what the measure would do if you didn’t have any filter on it correct so it really does challenge you one when you’re creating a symetric model that is going to go out to the masses on what measures you
14:05 to the masses on what measures you create there because to your point Mike yeah we have been in the mode when we created a semantic model that those measures are meant to be base models you measures are meant to be base models sales our members our our know sales our members our our leads whatever and then obviously you’re always going to add that with some attribute yes but a metric set starts the opposite way you’re really turning it on its head yes and I personally personally love the concept because that’s what a measure is for those are what the metrics are for when most
14:35 what the metrics are for when most people go into a report the attributes are fine but the common question is where’s my number what’s the number so to speak you number what’s the number so to speak where are we at so I I I had the know where are we at so I I I had the same Epiphany and this is going to hopefully change a lot of ways that we build our models you could even change the name of metric sets and it would still mean the same thing instead of calling metric sets you could have called it measure sets right you could have even said the same thing cuz that’s literally what it is it’s it’s a set or
15:06 literally what it is it’s it’s a set or collection of measures now when who who’s the audience for this right who is the audience of the metric sets right we’re really unpacking this as well well this is not the model developer right so I want to outline some additional roles here that go along with this right so if we think about the different roles of people inside your organization I think there are consumers of reports so the consumer of reports is someone who’s getting an app or a shared report to them and then they can review
15:36 report to them and then they can review look at the report themselves if you go one step further back in like up the stream of where the data is coming from right you have the ability of sharing a semantic model so I have report creators who create reports but they’re given a semantic model that they don’t really manage but they can go ahead and connect to it and they can build their own reports and so they’re a bit better than just a pure consumer right computer consumer has the skills to look at a report and get stuff out of it the next level up is oh let’s give you access to
16:06 level up is oh let’s give you access to the semantic model well you’re not making measures but you’re able to then build visuals this metric sets fits I think very closely in between this selfservice bi platform and this is this is really where we’re going here with this is because if I gave you the entire semantic model you’d be overwhelmed and wouldn’t know how to build everything it’s a little bit confus confusing but if I gave you here’s five measures from this model and for each measure I outline here’s the best Dimensions you
16:37 outline here’s the best Dimensions you may want to use with that I think this is actually geared much more towards the individual users the cons the report consumer side of things and so now this is really decentralizing report creation and saying I’m going to build measures that are relevant and then let everyone build from them so there’s other some other things here are also I want to point out additionally Tommy you’ve brought up the the problem multiple times what
17:07 the problem multiple times what happens when I have Department a that defines a user this way what happens if I have Department B that defines user a different way a different department May Define a user of our product in a different fashion right when did they purchase did they just try it with a trial like there could be slight differences in numbers based on who’s asking about the thing right makes all the world difference makes all those all difference in the world because if I include a certain property of that user well that changes the total number to be different right well let’s
17:38 number to be different right well let’s let’s revisit that in lie of the idea of metric sets right in a metric set you could have one metric for each type of definition of a user so you could make you could make the user metric set that has total users and then in the in the best part about this too is when you make a metric set it has a full description of what it means you write out what it means this metric let you say adding all these things up excluding nothing it’s to like it gives you total numbers for everything base yeah done
18:10 numbers for everything base yeah done base then for each department Department a uses a metric that does this so you can have a brand new metric that does some filtering inside the measure that says this is the HR users or this is this the marketing users or this is like sales team users right and you could Define the metric and then inside the the measure itself you’re filtering things you’re you’re removing stuff like you’re actually changing the number and so you can actually see there are in your organization there are three or four
18:40 organization there are three or four different metrics for the same definition of a user so there’s a user metric set and inside that user metric set each each evaluation each measure we have three or four measures that describe users depending on what department you’re from cool and the best part about this is when you use this you can use those metrics with different semantic models so each department could technically have its own semantic model so when I really step back and say wow metric sets has the potential for you to
19:11 metric sets has the potential for you to really start building like the proper data glossery of a lot of things inside your organization so I like this idea let me again I’m gushing about the feature right here because I think it’s a really rich Fe Rich feature let me give you just some caution on some of this stuff okay there are liit limitations like for example it talks a little bit about there are limitations around shared Dimensions right now so if I have metric set for users and I have the same you could actually add the same measure twice into the same thing and give it different dimensions let’s
19:42 give it different dimensions let’s imagine you have two metrics in the metric set and they both share the same dimension of like dates which would make a very a lot of sense in a semantic model obviously you’re going to have dates manipulating two different metric sets well right now the metric sets don’t necessarily obey the the unit ification of those two Dimensions even if they’re from the same model right so if I have metric metric set one and Metric set two and both of them sorry metric one and Metric 2 even though they’re coming from the same model even though they have the same definition it
20:12 though they have the same definition it sounds like there’s currently some limitations where the engine of powerbi isn’t quite smart enough to know that I’m not running a single direct query on one measure and the other measure needs to be changed based on selections of dates and it’s not unifying those common Dimensions together yet so I don’t know if we’re ever going to get there but the other the other caveat I found that was weird here was when you consume metric sets if you consume them from an exploration inside
20:42 consume them from an exploration inside the metric set area oh yeah it works as expected I see the I I can again the idea here is you have maybe hundreds of dimensions in your semantic model but what you’re doing is you’re pairing down hundreds of semantic hundreds of Dimensions down to like maybe three or four that relate to this particular measure in that situation when you have a subset of a semantic semantic model there when you edit that if you say use this metric in a report the entire semantic model shows up and so it
21:14 entire semantic model shows up and so it gets I to me I was a little bit confused around I was expecting to go into the semantic model and have like a toggle button like hey I’m going to go from this metric which has a limited amount of columns for this measure to the model I would have expected when I’m in the report I can only see the columns that were given to me by that metric or it was grouped differently or it just didn’t quite feel correct to me it it felt disjointed so I was a little bit confused going from the metric set which had like five measures sure build a
21:46 had like five measures sure build a report with it and all of a sudden I have the whole model like all the tables like wait a minute I wasn’t prepared for that it was a bit of a jarring experience to transition so I think in the demos I’ve seen from Carly who’s the PM for this feature I’ve felt that it was actually not implemented that way there
22:05 actually not implemented that way there was actually metric sets that had groupings of things so we’ll see this may be part of a bug this may be just something they’re doing to get that out the door I’m not sure but there may be some enhancements coming to metric sets as well so I want to back up some of the features from the caution area because I’ve I’ve experienced the same thing you’re like oh that’s that’s wonky but I want to pick up what you were putting down about this idea of the glosser the catalog here take off even the idea here of the Builder and everything
22:36 of the Builder and everything else you can do and just that idea of those variations of a metric this is where the empathy that I think we need to come in because even those variations like well we count leads that only do forms the reason why people are so hung up on that is because their jobs more or less are on the line with that variation or or their metrics their incentives right their incentives that’s much what putting it yeah right it’s not their jobs on the line it’s more like whatever the leadership has done to make
23:06 whatever the leadership has done to make sure like hey your their goal your goal is tied to number of leads through this funnel through the form or through whatever yeah they’re that’s what they care about every day because that’s what they’re graded on you as a leader you decide what is important to your business and if you have too many metrics of the same thing it’s probably not the user trying to ask for the metric it’s probably the leadership measuring the wrong thing or right giving random not random giving
23:36 giving random not random giving different requirements to different teams and therefore everyone’s trying to cut the data differently which makes total sense right and to your point the the way we measure things or Hill I will die on because of how integral this is just stop at what you said with the data even being a glossery for a main metric and what a win how many we’ve talked about the data catalog and people’s definitions oh my gosh Mike like oh we have it we have a really good starting point if anything if they stopped here
24:07 point if anything if they stopped here they said we’re going to retire metric sets what you have is what you get great because we’ve never had anything like this and we’ve needed something so yeah a th% on the variations of metrics or even the department level metrics good golden let me give you one more like weirdness and I think hary’s already on it I’ll I’ll let her know anyways just candidly but one thing that doesn’t work very well in metric sets there so it has the potential for allowing you to search for
24:37 potential for allowing you to search for things like so you could search for like a metric the search right now in the metric sets doesn’t really work so well it doesn’t feel like it’s indexing everything correctly I’m not sure what it’s doing but the search feature I had like 15 or so metrics built out for the demo I was doing and I would search for the word sales and there was like probably three or four items that were sales related on the metrics but it wasn’t showing me the actual metric from the metric set so I think there’s some more work to be done on the scanning and filtering yeah one
25:07 on the scanning and filtering yeah one thing I will give a big shout out to on there every time you use a metric set this was cool they’re actually showing you in the bottom of the metric set every report where that metric was used from the downstream the downstream eff of things and that’s huge honestly because if you start really democratizing your data and letting people actually do self-service business intelligence where you let them build their own reports anything you have access to would appear where that
25:38 access to would appear where that metric’s being used in so that’s huge because we don’t really have anything I have never seen anything in par. com again you can correct me if I’m wrong in chat feel free to respond if I miss something I have never seen anything track this measure is used in these reports anywhere it’s all been custom built stuff you have to go use semantic link Labs you have to go use a web scraper tool you there’s nothing that is indicating to me all the different visuals and reports that cons are using
26:09 visuals and reports that cons are using that that measure which tells me Microsoft knows where that measure is being used but we’re not able to see it well because atic model but yeah but then the measure yeah but but that’s the point like it’s it’s not necessarily the model like the model yes we know everything about the model but like the model links to potentially hundred or not thousands of reports if you’re building off of a bigger model and then you want to know which reports have that thing so whether it’s in a filter pane whether it’s in a visual those are two things that I can’t
26:40 visual those are two things that I can’t see very easily about reports so as you use these metrics they start appearing in a list of here’s where they’re used for in yeah that’s a win in my book just alone and another adoption I just I think it’s important to mention metric sets are not isolated to just that area they’re pretty prominent in the one L catalog which also makes sense like who knows I love that because we’re elevating metric sets and I think that’s another convers another topic on how
27:11 another convers another topic on how much do we Elevate the metric sets in our like in a company in terms of like how prominent do we show it how much do we push it we’ll we’ll say that for another day but I’m gonna write that topic down that’s a that’s a good one great topic all right but no I love it I’m happy to hear about the workshop and what you but more conversations to come I am sure on here and if you like what we talked about this one here too you can go check out training. tips we have Live Events there’s a there’s a class called Live Events so if you want to go hear what we talked about I was just I’m not trying to sell this I’m
27:42 just I’m not trying to sell this I’m just trying to say I talked about it I I actually was learning things about this new feature and thought it was really cool so just wanted to share with the community here that metrics are awesome they’re super cool if you want to go learn more about them go check out training. tips find the event that we have that’s called Live Events it’s our most recent Workshop it’ll be up in about a day or so it should be up by the time this video lands because this is a pre-recorded episode and you’ll be able to go check out the Live Events portion and this Workshop will be there for you to look at and check out anyways that being said let’s jump
28:14 anyways that being said let’s jump into our main topic for today Tommy you want to read us off our main topic yeah this is this is Sparks Gonna Fly here we go I’ve noticed that there are only a handful and again this is a mailbag that there are only a handful of job listing requiring Microsoft fabric on platforms like LinkedIn and indeed given that this was introduced just over a year ago this is somewhat expected however I’m curious to understand more about this trend why do you think there are few so
28:45 trend why do you think there are few so few job listings mentioning Microsoft fabric is it due to their early stage of adoption or are there other factors at play how long do you think it will take for Microsoft fabric to become a common requirement and data engineering roles looking forward to all your insights and predictions on the future of fabric appreciate it thanks yeah this is a great question wow a lot to unload here unpack unpack unload yeah there’s a lot of things going on here like there’s
29:15 of things going on here like there’s there’s a lot of content so what what is your initial reaction to this comment Tommy like what do you think about the the fabric job clim at this point I I’m going to go back to my powerbi and Trend because I think that’s a really that’s where I was going to go as well I like this already mind think like or common Minds Italian Minds Italian minds think like yeah I I’m not gonna say great because medoc at best mediocre minds think alike but two people who started
29:45 think alike but two people who started in powerbi since it’s been powerbi designer 2015 I know everyone knows that but I think that we’ve seen the Spectrum especially from business intelligence being democratized I don’t remember getting recruiting really prominent saying it’s powerbi like we want a powerbi specialist probably for three years like 2017 up until then it was still business intelligence yes you need powerbi skills but very much is still squel
30:15 but very much is still squel Python and R were very prominent in those roles it really took about two years two plus years until I would look at a job requirements or I talk with a recruiter and they would go yeah they’re looking for a Pacific powerbi adoption we’re looking for powerbi growth as specialist yes we like some sequel but it’s not nearly as important as it was the first two years yeah it was it was yeah we’re gonna do powerbi but you can’t be just that yeah
30:46 powerbi but you can’t be just that yeah and I also would argue too A lot of the powerbi pieces as well you might now hear positions around want administrators of powerbi or you want administrators of powerbi or bi like but the the fact that the know bi like but the the fact that the tool was so new in those early days no one knew they needed an administrator and only did they so the the business right needs to start driving the need for these roles what I think you’re finding right now is the when you think about when I think about fabric right what is fabric fabric is an
31:16 fabric right what is fabric fabric is an extension of standard powerbi there’s already the need for having powerbi and you don’t need to use fabric to make powerbi go right I think there’s actually a lot of hot debate on the internet right now around like wire Fabric and Power RBI together does this make sense is should be really continue I think it’s the right choice honestly I have found immense amounts of value from using Fabric and powerbi together fabric is the it’s my replacement for power query it gives me like my Swiss army knife for power query I can do so many more things just having
31:46 I can do so many more things just having python notebooks and notebooks in general speaking of which total side note I just started playing with python notebooks inside spark or not actually inside the the workspace there is a python pure python notebook one machine one one Machine versus a spark notebook which has potential for multiple machines I really like this new python notebook if you’re doing lightweight data movement I don’t know how big the data needs to be for like I don’t know what’s the threshold here of like when I start making my little python machine fall over right but having a single
32:18 fall over right but having a single machine to do some testing to build some notebooks and the python I write is the exact same python that runs in spark dude I’m I’m a fan like this is going to save this is going to save me money it’s going to be like on jobs where I don’t have mega hundreds of millions of rows of data being moved around I might be able to get away with a smaller python based based notebook and I know we’ll see where this is going to land I’m not sure but right now my initial look at it it feels like there’s no difference to a a
32:48 feels like there’s no difference to a a python notebook in Spark versus a python notebook in just ramp python the ramp up time faster too there’s no ramp up time you just start writing python I want it I’m seeing like when I have to when I’m ready run correct I’m sold because I hate that I you have to yeah there is less let’s call it less lag
33:06 there is less let’s call it less lag like when you say go and run it like it’s literally like one or two seconds it’s up and running like I’m my gosh it was for me my experience and I was on F2 so it’s a smaller skew anyways the machines were just available it was quick yeah so I really like that feature so anyways very very cool very nice I really like that feature I don’t even know I got distracted by that point where was going with this Tommy I forgot we talk well I mentioned powerbi that ramp integrating the two tools together right so I look at fabric as being more
33:37 right so I look at fabric as being more of that data engineering and data science tool right I’m doing things with pipelines I’m doing things with notebooks I runting more code this is not powerbi land right powerbi land is data flows gen one powerbi land is semantic models and reports and all the other things that go with powerbi so I other things that go with powerbi so you can get away with not requiring mean you can get away with not requiring Fabric in your environment but I think the P for me the price point of fabric is so low on those lower
34:07 lower FCS I think business users will want to just use Fabric in general because it adds so much more value to like it’s it’s Speedy it’s fast it does a lot more of the sharing of tables and data that you can still just use inside powerbi which I think is amazing we all we know that I’m I’m going to Proud you a bit but that doesn’t to me answer the question question about why are there right now few job listings I’m sure they will that’s a good question yes I think I think the traditional Market hasn’t quite caught up to what fabric is doing
34:37 quite caught up to what fabric is doing right I think it’s very confusing to have a bunch of bi business developers of models and reports you’re basically so I’ve always approached it this way powerbi has existed we had this huge Community around business intelligence and all of a sudden we added a new role called Data engineering or data science into the powerbi space so from a powerbi person I get all this extra goodness that is fabric as a data engineer when they come into this
35:08 engineer when they come into this solution right so if you’re pulling you’re trying to pluck data Engineers from Azure data Factory from Talent from other from data bricks as you’re trying to bring those data Engineers from other systems into fabric they’re a little bit more like okay this is a new thing but do I really need to be here I already like my other tools right so I think the reason why we’re not seeing like a lot of Fab roles and positions is many companies who are you’ve been if you’re already doing data engineering you just hire a data engineer that’s what you’re looking for and maybe you’re starting to focus on a little bit of fabric experience I think
35:39 little bit of fabric experience I think you’re going to start seeing more of the roles for powerbi say I need a powerbi developer and they better have some fabric experience so I think what you’re going to start seeing is you’re not going to see I need a fabric developer that has powerbi experience which we will get there after a number of years it’s going to what’s going to happen is the same thing with powerbi the first couple years like we don’t know we’re going to just have continued powerbi roles and then add into that fabric activities and at some point you’re going to have this Tipping
36:09 point you’re going to have this Tipping Point where the organization now has enough fabric laying around that they actually need to be careful with it and design things with it and optimize it and when the business starts seeing okay we need to we have enough need to have a dedicated person to work inside fabric that’s the time when they’re like yes we’re not going to start building specific roles for we need a fabric administrator which manages both powerbi and fabric all togethere right that works with the business on the powerbi
36:39 works with the business on the powerbi side but works with it on the data side and the and the fabric side right so to me this is a fabric feels to me more traditional it data engineering data science the bi feels more business front and center let’s just get whip it out the door sight and so now we’re bringing these two worlds together a lot more I want to touch on a few points that you mentioned that I think are very permanent to this conversation and cannot be understated okay truly right now we have
37:09 understated okay truly right now we have to understand the cycle of a company De developing or adopting technology takes a lot of time and you’re going to see I’m sure a few fabric offs right now but Mike you and I still picking up seashells that are P powerbi migrations where they’re coming from one technology to powerbi in 2025 so we have to understand first until there’s a dependency a common dependency around multiple organizations we’re probably not going to see job
37:41 we’re probably not going to see job listings be very permanent they’re going to hire Hitman like us at in the beginning because they’re not going to sure where does a permanent person lie like what are they actually going to do right now it’s very much in a sense the Consultants world because well you the Consultants world because well it we don’t know what we need yet know it we don’t know what we need yet in terms of a dedicated person the second yeah before we go to the next point just hang out there for a minute let’s unpack that just a bit more right sure is the business going to what will the business do will the business go out
38:12 the business do will the business go out and find the need to find a brand new salary just to move data around or are they going to go borrow an existing data engineer that they already have to do just some fabric data movements or if they have a data engineer or they’re going to go to the powerbi person and say you do a little more fabric it’s in your environment right so my my inclination says we’re going to get the lon share of the work dayto day is going to be in powerbi that’s the thing because we already have we already know
38:42 because we already have we already know it it’s a known need in the business right and so I think what the business is going to do initially here is just GNA they’re just going to push more on either that bi person you now start learning things of fabric right that it’s going to grow that person will grow into doing fabric things that are going to make their world easier the other side of things is going to happen too they’re going to pluck their other resources that have already been doing data engineering and they’re going to start slowly providing them access to powerbi they’re still
39:12 them access to powerbi they’re still hiring the data engineer they’re still doing other things that are data engineering managing databases managing Azure doing all the other things oh and by the way work well with this business person who’s the bi guy make them a lake right so there there might be some minimal amount of data engineering that just starts bleeding into fabric does that make sense yeah and I I think this is a great point because Mike the majority of organizations don’t have a very healthy data culture where you have a chief data officer or someone going hey I know everything that’s going on
39:42 hey I know everything that’s going on with fabric let’s do it guys we’re gonna learn this we’re gonna push through yes this is not from the real deal is in the the on the the face of it data is not most organizations number one priority yeah so we are excited about fabric we do everything we have to but we love to right because that’s our role I want to rephrase I want to rephrase I think you’re said you said something that I don’t think is necessarily true like organizations don’t find data as a priority I think they do find it as a
40:14 priority I think they do find it as a priority I think they just don’t prioritize the rigor that is required to make data culture a priority all the time like some companies have great data culture because they’ve gotten burned on having bad data and made bad decisions right bad data equals bad decisions period like you want to screw up your business give people the wrong amount of sales information and overinflate your sales numbers and at the end of the year people’s heads will roll like that’s going to happen so it’s the D I think you’re right it’s the data culture that is not necessarily mature enough
40:45 that is not necessarily mature enough where we can we have that cedo or that that chief executive person that’s actually sitting around and focusing on how do we use our data as a strategic asset me personally I’ve seen a lot more businesses focus on embedding Solutions because they are now getting to a place where they have some value being produced from powerbi internally and now they’re starting to look externally and say okay our data really is an asset we really do need to give this to our customers what’s a better method to display distribute the powerbi content
41:16 display distribute the powerbi content with our own branding on it right and if you have that as a service or as a product yeah a lot of organizations data is perceived as a cost we have have to do it and I’m not saying in a terrible way I’m not saying that’s what I think I’m saying I’m agree with you it’s the wrong mentality like I want the mentality I want the mentality to be data is priority number one and we’re focusing off of it we’re making big decisions off of it I want it to be a
41:46 decisions off of it I want it to be a priority and I I think again this is the back to the data culture right are we really prioritizing what people are actually working on and do we really understand the value of that like if I can spend let me give you some cont text here right if I have to spend people’s time to move manipulate transform data that’s not valuable to me by making people the data engineering data movers it’s valuable for me to figure out how to automate it and just have the data show up like that’s right we can scale our business so much more we don’t need so many people moving it data in around
42:18 so many people moving it data in around in Excel sheets we can just do it inside prob sorry okay that’s that was your first point go back to your second point now no no and and like I said to to go back to the question about the job listings or the ear stage Mike a year into something like this the goes to the second point I have yeah well let’s also understand too especially now that we’re introducing not just business intelligence because go back 10 years it was like well you should know Tau and yes some powerbi like Tableau is the thing oh yeah Jam majority of organizations also
42:50 yeah Jam majority of organizations also well they already have data engineering it’s just in Azure or AWS or Google you it’s just in Azure or AWS or Google Studio so in order this is going to know Studio so in order this is going to take a to me a slightly longer adoption to ramp up jobs because it’s not just we are going to introduce a new product because powerbi really was like nothing else out there when it came out and I Tableau was the only thing but it didn’t have modeling so powerbi really was its own new platform it didn’t have a competition to me but now
43:23 didn’t have a competition to me but now fabric has a lot of things where a lot of organizations probably have existing processes and Technologies to do so to do what they’re doing that you could do in fabric not saying that fabric is worse or the same I think it’s better but they already have their data pushing transacting and being engineered in other platforms so yeah it’s going to take some time for one companies willing to do the migration well first actually let me back up for first for companies
43:53 let me back up for first for companies to see the value of doing the migration of why would I go a fabric how much better would that be when all my data is here you’re telling me I have to change everything and put it here and then and then white papers wherever were they’re
44:08 then white papers wherever were they’re like we feel left behind we in order for us to keep up we have to do fabric I think those to me are maybe the just as much as the normal adoption scale works the migration side here cannot be understated where you have to that has to be allowed to happen agree so I’ll pause there what do you think about that well I I think we’re we’re too early in this phase right now I think what we’re what we’re seeing is businesses don’t see enough need to fully dedicate it’s a really big
44:38 fully dedicate it’s a really big commitment for an organization to say you have to have a lot of data needs and you have to understand fabric works really like fabric has to be a core function in your business to be able to have job hirings of of fabric level and and one and also in addition to this as a business you need to understand what does that job rooll and tail like what does a fabric developer do write it write the description for the job right now I don’t know I I could probably do it better than most of what fabric developers would be doing right so what does that job description look
45:09 so what does that job description look like and if I look at that going okay that doesn’t actually sound too far off from a powerbi developer well why not I why don’t I just hire a powerbi developer who already knows all the powerbi things I can already use them in a need I already have a lot of Need for there’s a lot of organizations that are spreading a lot of their power pay developers too thin so they’re looking for a third one or they’re trying to upskill their people internally to do powerbi so why not continue to upskill the powerbi developers into fabric developers or even lightweight fabric developers right so let’s call it like
45:41 developers right so let’s call it like powerbi roll plus right I need to know how to do a Lakehouse and I need how to load data with data flows gen two right that’s a pretty easy jump to get to right so hire the the powerbi person higher the powerbi person and then just teach them a little bit around lakehouses okay great it’s the same thing as data flows gen one you’re not the skilled Gap I think is not too far and different there now if we go from we want my powerbi developer to do lake houses and now notebooks bigger step
46:14 houses and now notebooks bigger step right that’s a larger step right hey I want the powerbi developer to now orchestrate or build out an entire data pipeline Bron silver gold I need different environments Dev test prod like now we’re talking about a role that I think would traditionally fall more in that data engineering or in the it space right so to ask that much of that bi developer probably not yeah but if you go find the data modelers of the world they’ probably handle it no problem they understand how to move data from raw places into a star dimensional model on
46:46 places into a star dimensional model on the other side yeah a lot of organizations are probably going to step like put their toes in the water first this is a slow process because let’s not understate what undertaking this would be for an organization to do Mike I have a question for you I have a scenario you if I wanted to have as many job offers right now as possible which type of company would I want to work at a company a or companies like ones where they have no data engineering at all and they want to introduce fabric that we do
47:17 they want to introduce fabric that we do powerbi but we see all these benefits of fabric but we don’t have all these other pipelines and other systems or companies where they’re already an Azure shop they’re already WS shop and we want to migrate those existing processes to fabric what which where am I getting more job offers from right now job [Music] [Music] offers I I I don’t I don’t go into the job market because I’m not looking for jobs in that fashion right I
47:48 looking for jobs in that fashion right I I’m not sure I could speak to those things but what do customers come to me about like where where am I seeing the needs in business like so maybe what you’re asking I rephrase your question maybe slightly is of the experiences that you’re listening to customers what common challenges are customers trying to solve I I I want to put in the the mindset of the person who’s asking the question there’s not a lot of Job Lot offers right now job requirements around fabric where do you think the greater need to higher FTE is
48:19 think the greater need to higher FTE is okay that’s okay where does this so what is the skills Gap that the organization has and how does fabric fit that skills Gap right so where I’m where I’m seeing this is occurring is in the we have a whole so this is there’s a there’s a shift happening I think I believe in in some degree and this is not 100% everyone needs to convert let me just cat this this is just what I’ve observed what I’ve observed is a lot of organizations have been trying to move on Prem SQL into cloudbased SQL or
48:53 on Prem SQL into cloudbased SQL or cloud-based Solutions when you look at and you ask the real question how often do you need this data over updated or modified most organizations will say yeah we could just have yesterday and older that’s the speed of my data right so what that indicates to me is batch loading is important and I need to get the data to a place where I can then join multiple different sources together and easily create tables that I can make semantic models on top of I see
49:23 can make semantic models on top of I see right now the need is we need the businesses need to move are moving away from just SQL Server as the single reporting source to powerbi through semantic models and Reporting they’re now moving towards well what if the Lakehouse can solve that problem can I get more data in The Lakehouse am I able to get slowly changing characteristics of my data can I get slowly changing dimensions in my data and save all the changes as opposed to saving only a snapshot right
49:54 opposed to saving only a snapshot right here’s today’s snapshot and I don’t have anything there’s no reference to any prior history so I think companies are starting to focus on the current systems don’t really support solid and without a lot of effort or time or money right I’m looking for cheaper solutions to save more of my data and I’m moving away from SQL and I’m moving more towards the Lakehouse so that’s the trend the market is trending towards a Lakehouse type environment whether your data bricks snowflake all the big databased data Technologies
50:25 the big databased data Technologies they’re all using lake houses under the hood sure for everything so the trend is that way Microsoft also is introducing the trend with semantic models semantic models can directly talk to a lake and get data out of it that’s the trend so where you’re at in that Journey how far along you’re on the journey organizations are now starting to find they need to migrate more of their legacy systems into cloud-based services and lake houses and that’s the need that fabric serves but that can also be
50:55 fabric serves but that can also be served by data bricks or snowflake or other systems so that’s purely the data engineering role so I guess my my point there is where’s the business need the business need to hire a full-time an FTE is to figure out how to unify their data from many sources to a Lakehouse that’s the need and so there’s not a lot of hiring yet I think in the powerbi fabric space that’s focusing 100% of someone’s job just doing that work yeah and to to
51:25 job just doing that work yeah and to to that point I I I I agree a lot with that I’m seeing from from my end and again more my experience has been on the pure powerbi world where hey what we wish we could have done all these things with more skilled data engineering capacities but we just never had the resources to do so but now that Fabric’s here well this opens up a lot of doors that were previously closed and so there’s that introduction here of well get I guess we want to touch our toes and fabric but there’s still the concept of what fabric is
51:57 still the concept of what fabric is going to do in an organization and be a dependency in just like powerbi was a nice to have initially like this is cool to now where organizations rely on it fabric is going and may take slower like and I I think because it’s going to figure out really like what’s the value ad and where is fabric going to touch in the organization the same question that we have with powerbi but on a grander scale because of all the doors that are open again you’re we’re going to have that conflicted choice so many
52:29 to have that conflicted choice so many choices so to me when it looks like where’re people are going to be looking for jobs it may not say like that hey a fabric specialist I don’t think that’s what I would be looking for right now if I wanted to work in fabric right now because what does that fabc specialist do right are they doing exactly do you need them to build real time analytics are they building database are you building a lake house reporting from that like what does that are you doing data science things right I’m looking for an organization is already set up with powerbi because this is the next Evol
53:00 powerbi because this is the next Evol next logical evolutionary step yes it’s taking existing powerbi things and potentially adding more of them to lake houses and dat engineering and bringing more of that it Centric stuff over to RBI we are much closer to the job requirement having a bullet point about Fabric and then if six months out that’s the only thing you’re doing but not that’s my point yeah specialist right yeah today it’s a bullet point but is as the as you do more of those bullet points eventually there’s enough work to actually support an entire role that’s doing nothing but
53:32 an entire role that’s doing nothing but optimizing fabric building things working with the business to help them use it like administrating it I think you’re going to start seeing roles around fabric administrators before you’re going to see data engineering roles around fabric because yeah that that role will entail you working in fabric optimizing it because you made a mess of it and then you’re going to also help the business use it as well you’re going to like lead the helm in this space so but this is it’s going to be born out of my opinion here is it’s going to be born out of those existing
54:02 going to be born out of those existing powerbi developers that are maturing to a level of where they’re actually getting to use fabric so it’s going to be powerbi roles venturing into fabric R so it’s going to you’re going to start seeing powerbi SL fabric engineer powerbi fabric developer right and then eventually you’ll see a solely fabric experience like if you want to get started in Fabric and work in organization who’s going to adopt Fabric and you’re searching for fabric Specialists the irony is you’re searching for the wrong thing because
54:33 searching for the wrong thing because you’re not going to see that for a long time until because again most jobs also are not usually or can’t job requirements are not randomly written it comes from some template yada yada yada so honestly if I want to find start working in fabric that’s in my interview with the with the person I’m working with like hey have you talked about Fabric and it’s like yeah we probably want to do that again odds are and six months you are a knee deep in fabric it’s just not going to be a thing that’s commonly on the job as a fabric
55:03 commonly on the job as a fabric specialist I don’t think that’s much longer way to you actually working in it
55:09 longer way to you actually working in it if you actually find it in the like what the skills that are needed I’m going to I’m just literally Googling a couple things here and like there’s some job listings here I’m just going to read down a couple of these titles that I’m seeing and I think this I think this aligns with what we’re talking about here just based on the line the just based on the right hiring title I’m here and here listen to this so I’m going to skip the ones that are like Microsoft developers like at Microsoft cuz I’m like okay obviously they’re hiring for fabric because they’re building it right so un sure there are AWS migrations going through right exactly so I’m gonna
55:40 right exactly so I’m gonna Microsoft fabric architect manager right so think about that well that that’s what I was saying right I need someone to come in build best practices and manage everything that’s happening on top of fabric right this is what I said starts first right once you have so much fabric you don’t know what’s going on it you need someone to come in and organize it that’s the first that’s the first role you need to start hiring for give me the bullet points on that I’m intrigued it’s yeah you’re I’m trying to read through here let me skim through this one you’ll partner with our clients and solve complex business
56:11 our clients and solve complex business problems you’re going to foster a network within the business community and serve as an ambassador for fabric into the community of our company you will here go into the job description pieces here wow this is all text they don’t have it this is not good for bullet points okay Mike does not like not bullet point Mike likes bullet points I don’t like I want responsibil really one responsibilities is what I’m going for right yeah analy analytics FOC focused working with Microsoft
56:41 FOC focused working with Microsoft Technologies fostering communication about what is needed in the fabric environments creating a team environment that they are all learning about fabric basically participating in the process of formulating communicating and executing data strategies right it’s strategy it’s it’s strategic why should we why should we bring the DAT to fabric like that’s that’s the point that’s sounds like a really healthy culture but but that’s but this is my point though they’re hiring for this role because
57:11 they’re hiring for this role because they need this this is the first need once you you don’t have the need for fabric people until you have so much of it that’s disorganized and you need to teach everyone else how to get on board and go their Direction I think you just got a gem out of the sand or whatever the phrase is I think that’s the common give me another one give me another all right here’s another one so a another Microsoft fabric developer more line I think yeah Proficiency in wow this is like not even correct at all I don’t even know what this means find this is what
57:43 what this means find this is what you’re gonna find like SQL SQL experience five years spark five years Apache five years data modeling three years data warehousing one year right I’m just trying to skim through like what what are your roles right oh my gosh and it’s talking about a lot of technologies that are not fabric right it’s talking about like Java C python like jav bring a team what are you doing like this this sounds like a developer role that you just slapped on fabric developers I don’t I don’t think that’s what this is Microsoft fabric architect manager another one one I’m
58:15 architect manager another one one I’m going to just keep skimming through here there’s a lot of them data architect with Microsoft fabric give me some of those job requirements though for some of those like the developer one you just said they’re very limited as far as what they basically having I love this one well at least they got it right having one year of exper one years and says having one years of experience yeah because it’s only been around for a year so no it’s just years it’s an actual s on it like you’ve had one years of experience so one plural
58:46 one years of experience so one plural year of your experience demonstrated experience in developing and maintaining complex data pipelines with fabric data engineering practices solid experience in doing data in ETL know how to use AZ your services especially data Factory synapse and SQL database so they’re throwing again those are traditional data engineering roles that they’re now just flavoring with a little bit of fabric now proficiency encoding in SQL Python and other language for data scripting information and automation this sounds that job this
59:19 and automation this sounds that job this sounds like what it should like if you’re I’m saying this is this sounds like what you should be hiring for when you’re talking about fabric stuff though I I would not take that job why because they’re going to think that I’m an expert and I’m going to do all of it I’m going to do all the python all the semantic modeling all the pipelines there no no no no mention of semantic modeling this is only talking about moving data around in fabric that’s all they’re looking for it’s a data engineer role all this is that to me is a data engineering role they just slap the word fabric on it yeah and they’re expecting that one role to do all of it compared to the first job offer that you said
59:51 to the first job offer that you said not job offer but the job requirements of the first one you’re gonna have a team you have to do the communication the management because Mike how many people in the world right now have ex enhanced experience with Microsoft fabric right like to to say that I like yeah Consultants MVPs still but you only have all of us only have one year one plus year of Microsoft fabric even if you’ve done the other things it’s a different security is different people
60:21 different security is different people going to be using it like so I like the first one much better I feel like if I took the second the last one that you said nothing it’s the company you never said the company so no one’s going to know to me I am going to be 70 hours a week because are they’re going to think that one person can do all of it no I I I disagree with your summary on that one I don’t think that’s what it is but we’re going to disagree there is another role last one here and we’ll move on to something else data engineer Das Microsoft fabric so it’s data engineer which is what I think they’re talking about using Microsoft fabric
60:51 talking about using Microsoft fabric Technologies now this one this is what I would have I actually would have written this as this is not a data engineer this is actually a powerbi engineer with some fabric in it so let me read let me read the description here as a data engineer you’ll work with the data sciences and analytics teams You’ll Play a key role in working on data strategies principles and techniques that is purely data engineering got it and then a little bit further down here you’ll be part of the central analytics team so now you’re that that to me that means you’re in the business side a little bit more now helping with finding key insights and
61:21 helping with finding key insights and various business unit processes across the company you’ll provide performance indicators dashboards to help business users and partners make business critical decisions so now you’re now this is a data engineer which is now doing powerbi related things they’re now mixing and matching this role Ro you will C you will craft and develop analytical Solutions and translate them into technical space specifications building data models and data visualizations now I’m that’s
61:51 data visualizations now I’m that’s powerbi so like that’s a powerbi role now so this is what I was saying you’re going to have this really weird of blend of like they’re going to want data engineer to do movement of data but they’re also going to want someone who sits squarely in the business who understands how to build semantic models and reports and all these things with you I’m 100% with you on that design and develop and deploy fabric Solutions powerbi reports and dashboards create well not dashboards collaborate with business stakeholders create requirements gather L and transl them into technical specifications like all
62:21 into technical specifications like all these things this role they described here this is not a data engineer role to me what they’re describing is they’re underpaying someone and they’re saying it’s a engine role and this person is actually doing what an architect should be doing inside the business 100% I I am picking up what you’re putting down because but that’s a fabric role to me it’s just a subset of fabric it’s a subset of fabric but it the further you read the further you read down the description the more it becomes these are a bunch of powerbi skills I need you to have in addition to all the data
62:51 to have in addition to all the data engineering stuff which that’s not the data engineer the data engineer my opinion here is the data engineer may stop at the at right at or right in front of the semantic model level and we talked about this too I feel like a hundred times already there’s going to be hybrid roles there’s going to have to be yeah it have to be I like though too that they mentioned the team and that was the one thing I I like with the other one I’m like I just heard a single person I’m sure they have a team but Mike I I love the last one that you did
63:22 Mike I I love the last one that you did because I think I’m I’m picking up what you’re putting down I think that exactly what probably you’re going to see more than often than not I think you’re going to start seeing in my opinion here is based on what we’ve kind opinion here is based on what we’ve what I’ve looked at here what we of what I’ve looked at here what we talked about today I think you’re going to see a lot more roles show up for I need help governing administrating my fabric thing that way we can say we can basically wrap all of that into one role and then help me Define the strategy of how we use fabric right so yeah here’s the tool we have no Direction come in
63:52 the tool we have no Direction come in and Lead it that’s what they need I someone who of fabric before well that’s that’s the that is the role that people could actually pay full-time money for and and get value from it right nowm yes if you need someone into building a handful of tables here and there like Ah that’s probably not what you need you probably need a powerbi semantic modeled Builder and then teach them a little bit more around Fabric and pipelines right great now they now you’re very technical bi Engineers developers right
64:22 technical bi Engineers developers right a senior or principal U business and intelligence engineer probably could easily do what we’re talking about in fabric maybe that’s the position you should be hiring because that role lends itself more towards getting the data in getting the semantic models done and then shipping it out to the business and you’re not focusing so much on the administration side so again like scaling up your team already yeah exactly right it’s probably already on your team anyways all that being said it great topic today lots of good discussion we’re excited I think this
64:52 discussion we’re excited I think this is a great opportunity for us particularly if we’re coming from the power space if you’re a power expert already and you want to have more opportunity in your career I’d recommend start learning more things about Fabric and if you go to any job reviews that are powerbi related say hey I know powerbi and I know a handful of things about fabric Focus your time on learning lakehouses python notebooks and data flows Gen 2 those are like the PES I would start put spending my time it seems like there’s going to be needs so that being said thank you so much for listening to the podcast we really appreciate all your time and your ears
65:23 appreciate all your time and your ears hope you had a great exercise run biking whatever ever your exercise thing is while you listen to podcast we appreciate it thank you very much and if you don’t mind if you like this topic please share it with somebody else and let them know that you also enjoyed this topic Tommy where else can you find the podcast you can find us on Apple Spotify or wherever your podcast make sure to subscribe and live a rating it helps us out a ton do you have a question an idea or a topic that you want us to talk about in a future episode you guys are doing a great job with that awesome questions head over to power. tip
65:54 questions head over to power. tip podcast leave your name and a great question join us live every Tuesday and Thursday a. m. Central and join the conversation on all of powerbi tips social media channels thank you all so much we appreciate your time and we’ll see you next time [Music]
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