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How to Implement Row & Column Level Security in Databricks Unity Catalog Without Duplicating Data — A Real Interview Scenario Solved
Master Unity Catalog’s dynamic data masking and row filters to ace your next data engineering interview — and build production-grade secure lakehouse tables.
🔥 Your Interviewer Just Asked You This. What Do You Say?
You’re sitting in a data engineering interview at a company like Uber, Walmart, or a major bank. The interviewer leans in and says:
“You have a global HR table —
hr_master— with employee records from the US and Europe. US analysts must only see US employees and can't see salaries. EU analysts only see EU employees but can see salaries. How do you do this without creating separate physical tables?"
The room goes quiet.
Most candidates panic and say: “I’d create two views — one for the US team and one for the EU team.”
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