Preparing for Senior Data Platform Engineer Interview — Databricks Focused
Hi everyone,
I may have an upcoming interview for a Senior Data Platform Engineer role, and I’m trying to prepare properly.
My background is mainly as an Azure Platform Engineer — I’ve worked with Azure networking, CI/CD, security, infrastructure, App Services, AKS, monitoring, etc. However, I was told that a big portion of the interview may focus on Databricks and data engineering concepts.
For those who work with Azure Databricks or interview candidates for similar roles:
- What topics should I focus on the most?
- What kind of Databricks questions are commonly asked in interviews?
- How deep should I go into Spark internals, Delta Lake, medallion architecture, optimization, clusters, Unity Catalog, etc.?
- Are there any must-know concepts or hands-on exercises you’d recommend?
I’d also appreciate any advice on how platform engineering experience can be positioned well for a data platform role.
Thanks in advance!