← Databricks Interview Insights
Pretty standard for a Databricks interview honestly.
Start by defining Medallion Architecture as a multi-layered data design pattern (Bronze, Silver, Gold) that progressively refines data quality. Then, explain each layer's purpose and how they enable scalable, reliable data pipelines. Finally, connect it to Databricks' Lakehouse platform and discuss trade-offs like cost vs. performance.
Pro tip: Emphasize that the Medallion Architecture is not just about layers but about enabling data reliability and self-service analytics; mention how it aligns with Delta Lake's ACID transactions and time travel for data quality.
State that Medallion Architecture is a data design pattern used to logically organize data in a lakehouse, with three layers: Bronze (raw), Silver (refined), and Gold (curated).
Describe Bronze as raw ingested data, Silver as cleaned and conformed data, and Gold as business-level aggregates for reporting and ML.
Discuss how this architecture improves data quality, enables incremental processing, and supports diverse workloads from BI to advanced analytics.
Explain how Databricks Lakehouse Platform with Delta Lake natively supports Medallion Architecture, providing ACID transactions, schema enforcement, and unified governance.
Mention considerations like storage cost, latency, and complexity, and how to optimize by choosing appropriate file formats and partitioning.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.