Prepare for your Databricks engineering interview
Distributed systems and data engineering rounds calibrated to Databricks’ lakehouse-first, open-source engineering culture.
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The Interview
What Databricks is looking for
System Design Interview
Distributed Systems Design
01Lakehouse & Delta Lake Architecture
02Streaming vs Batch Trade-off Analysis
03Exactly-Once Semantics & ACID Transactions
04Query Optimization & Execution Planning
Coding Interview
Engineering Depth Round
01Distributed Algorithms & Concurrency
02Memory & CPU Efficiency
03API Design & Abstraction
04Testing Strategy & Correctness
Values Interview
Databricks Engineering Culture
01Open-Source First Mindset
02Customer Obsession & Technical Empathy
03Data-Driven Engineering Decisions
04Collaborative Technical Leadership
Unified lakehouse architecture expertise//Open-source and community impact//Deep distributed systems rigour
Practice Library
