Databricks Backend Engineer Interview Questions

The questions to prepare for a Databricks Backend Engineer interview. Questions from real interview reports rank first. Updated weekly.

Evaluates your capacity planning, backpressure, and resilience strategies for ingestion workloads.

Efficient Distributed Cache

Medium

Assesses your approach to caching architecture, consistency, and performance under load.

performancedistributed systemscaching

Databricks

Strong Consistency Global Service

Hard

Assesses your ability to design globally consistent systems and manage latency and availability.

distributed systemsconsistency

Databricks

Distributed File System Design

Hard

Tests your ability to design scalable distributed storage with reliability and performance tradeoffs.

distributed systemsscalability

Databricks

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Tests your ability to implement correct concurrency control and avoid race conditions.

Graph Traversal Under Constraints

Hard

Assesses your algorithmic thinking and performance optimization for constrained graph workloads.

traversalGraphs

Databricks

Memory-Constrained Algorithm Optimization

Hard

Tests your ability to reduce memory footprint while preserving correctness and acceptable runtime.

memory managementAlgorithmsoptimization

Databricks

Rate-Limiting High-Volume APIs

Medium

Evaluates your design for enforcing quotas and protecting services under heavy traffic.

apirate limiting

Databricks

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