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 nearly 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.
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! If you live in the U.S., this week marks the end of back to school season; though, if you’re like my southern relatives, you’ve been back since July. The closest feeling most adults get to back to school (aside from the teachers), is starting a new job. While a new org, title and compensation package represents new opportunities, it’s also easy to feel like the “new kid”, which can lead to being...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! I once participated in a remote job interview in which the interviewer was on the video call while driving... and smoking. While that instance was among the most memorable interview experiences (for the wrong reasons), I’ve had just as many interviews that have blended together and faded into the recesses of my mind. The common denominator, however, was the insistence on asking one question. The...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! One of the most loaded terms, after AI, is upskilling. It’s something everyone should always be doing, yet, only the most dedicated can consistently dedicate time to learning and expanding beyond their comfort zones. If you’re on the path to becoming a data professional, you’ve probably spent countless hours learning, only to find yourself wondering if you’re actually making progress. I’ve been...