Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! A peer of mine once revealed the reason they were sleep deprived: They were up past midnight writing ad hoc SQL queries with a c-suite leader literally hovering over their shoulder. The visibility of data analysts (like the one in the anecdote) and data scientists’ products, dashboards and ML models, means they are often the first on a Business Intelligence team to be bothered when something “looks weird.” This deference to the other more visible data teams shouldn’t stop you, the ambitious engineer, from taking on an important but unofficial role: SME, a.k.a. Subject Matter Expert. Being able to not only tell a stakeholder when a data source loaded (or didn’t) but also being the go-to person for questions, vendor outreach and general support, makes you an invaluable resource that goes beyond your job title and ability to “crank out code.” In a bumpy job market, this is key to cementing yourself as a must-retain staff member. To be a true SME you need to not only know your data, but also understand the larger business context which your work contributes to, which typically breaks down into: Resource conservation, performance optimization and revenue generation. For a working data engineer, going from DE to SME involves stepping outside of your comfort zone by:
If you’re not currently working in a data engineering role or are still in the job search phase, you can be an SME by narrowing your search to focus on industries or “domains” in which you have proven experience. For more information on how to apply that experience, read this guide. Anticipating business and stakeholder needs means less late nights and, more importantly, a little breathing room. Thanks for ingesting, -Zach Quinn |
Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
Hi fellow data professional! For my health I try not to argue with my wife; but when she told me her networking plan I had to push back. Some context. She’s exploring career paths within the multinational corp she works for and wanted to meet with a friend of a family member. The catch? She felt weird about leveraging a personal connection and wanted to reach out cold. This is the wrong approach. Western culture demonizes nepotism but, truthfully, sometimes a connection is so painfully...
Hi fellow data professional! It’s baseball season in the U.S., a game defined by the "on-deck" line up. Before a player takes a big swing at the plate, they are already there, weighted bat in hand, timing the pitcher (who has to move a bit faster now thanks to the pitch clock), fully prepared for their moment. They don’t start looking for their helmet only after the umpire calls them up. In your early career perhaps you're considering "taking a big swing" by applying for that dream role at a...
Hi fellow data professional! In undergrad, in pursuit of a coveted TV internship, I once cold messaged an alum of my school using an email I found on his acting reel. When we finally got on the phone it wasn’t the warm handshake connection I was seeking; he spent time grilling me on my intentions and skills. After I hung up I thought “what a jerk.” In my yet-to-be-developed mind I thought as long as I went to the effort of getting someone on the phone they’d reward that initiative with a job,...