Databricks Interview Questions: SQL, Spark & More
Prepare for Databricks data engineer interviews with real questions about Delta Lake, Unity Catalog, Spark internals, and pipeline architecture.
Key Takeaways
- ✓Why Databricks Interviews Are Unique
- ✓Technical Deep Dives
- ✓Interview Tips
Why Databricks Interviews Are Unique
Databricks builds the lakehouse — so they test deep Spark knowledge that other companies don't. You'll need to know:
- Delta Lake internals (transaction log, time travel, Z-ordering)
- Unity Catalog and data governance
- Photon engine and query optimization
- Structured Streaming
- MLflow basics
Technical Deep Dives
Expect questions that go beyond surface-level Spark:
- How does Delta Lake achieve ACID transactions?
- Explain the difference between managed and external tables
- How does Z-ordering improve query performance?
- What is the transaction log and how does it handle concurrent writes?
- Compare Delta Lake vs Apache Iceberg vs Apache Hudi
Interview Tips
- Use the free Databricks Community Edition to practice
- Read the Delta Lake whitepaper
- Understand the medallion architecture deeply — it's core to their philosophy
- Be ready to discuss real-world data quality challenges
Reviewed by Aditya Kumar · DataEngPrep Editorial Team
Drafted by the editorial team and signed off by Aditya Kumar, founder and lead editor at DataEngPrep. Questions are sourced from real interviews, initial answers are drafted with AI assistance, and every section is human-edited for technical accuracy, relevance to current FAANG hiring rubrics, and clarity. Articles are reviewed periodically as interview patterns evolve.
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