u/EatAndRun_Mommy

I have a first-round technical interview coming up for a Data Engineering Manager role. The company’s data stack is heavily built around Databricks, and they mentioned this round will focus on technical architecture and ecosystem knowledge, rather than a live coding/LeetCode session.

Since I'm transitioning into a role that balances people leadership with hands-on technical direction for a Databricks shop, I wanted to see what the community thinks I should prepare for in this initial technical screen.

For those who have interviewed for or hired for similar DEM roles, what are the "must-know" concepts they are likely to probe into? I

I have a first-round technical interview coming up for a Data Engineering Manager role. The company’s data stack is heavily built around Databricks, and they mentioned this round will focus on technical architecture and ecosystem knowledge, rather than a live coding/LeetCode session.

Since I'm transitioning into a role that balances people leadership with hands-on technical direction for a Databricks shop, I wanted to see what the community thinks I should prepare for in this initial technical screen.

For those who have interviewed for or hired for similar DEM roles, what are the "must-know" concepts they are likely to probe into? I

I have a first-round technical interview coming up for a Data Engineering Manager role. The company’s data stack is heavily built around Databricks, and they mentioned this round will focus on technical architecture and ecosystem knowledge, rather than a live coding/LeetCode session.

Since I'm transitioning into a role that balances people leadership with hands-on technical direction for a Databricks shop, I wanted to see what the community thinks I should prepare for in this initial technical screen.

For those who have interviewed for or hired for similar DEM roles, what are the "must-know" concepts they are likely to probe into?