Databricks Backend Engineer Interview Questions

900+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Databricks loops in the last 24 months.

About the Databricks Backend Engineer hiring loop

Databricks interviews are unusually deep on distributed-systems and big-data internals (Spark, Delta Lake, MLflow). Coding rounds are LeetCode-medium-to-hard, system design dives into lakehouse architecture, and behavioural rounds score "Customer Obsession + Truth-Seeking".

Backend rounds score on API design quality, database-tier reasoning, scalability anchoring, and operational maturity (observability + reliability). Trade-off articulation differentiates Senior from Mid.

Topics covered in Databricks Backend Engineer interviews

  • 01API design (REST, GraphQL, gRPC, idempotency, versioning, pagination)
  • 02Database design (relational vs document vs wide-column, indexing, query plans)
  • 03Caching strategies (read-through, write-through, write-back, invalidation)
  • 04Concurrency + async (threads, event loops, queues, distributed locks)
  • 05Authentication + authorization (OAuth, JWT, RBAC, ABAC, session management)
  • 06Observability (logs, metrics, traces, SLOs, error budgets)

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