I love the quote in the beginning…
“Hiring data engineers is a piece of cake!” said no one ever.
And for good reason.
Lior starts off with two key factors I totally agree on, the supply doesn’t meet the demand, and how could it be given the explosion of demand? And the fact that in a fast-moving & evolving new data world, it’s hard to tell a good fit.
That, in my opinion, leaves most companies with a heavy & permanent investment in training, which of course means we want to bind people long-term to our company, even though the field & the work will constantly evolve.
That’s a tough challenge, Lior offers 5–6 ways to help here.
- Measuring & projecting the impact of the data team.
- Enable constant learning & growth.
- Care about your data not just as some “by-product”.
- Invest in modern data tooling.
- Give the data team autonomy.
- Let them automate boring tasks, keep the exciting stuff flowing!
I find Liors writing a bit elliptic, but I like the thoughts that’s why I put up a longer summary here.