Interview questions
Databricks AI engineer interview questions (2026)
6 real interview questions reported by engineers who interviewed at Databricks, spanning Data Engineering, Software Engineering. Every question is scored against a golden answer on the things Databricks actually grades — architecture, token efficiency, security and correctness — not just whether your code runs.
Databricks Software Engineering questions
- Sliding Window Rate Limiter for Concurrent LLM API Calls
Your application makes concurrent LLM API calls but keeps hitting rate limits. Implement a rate limiter that enforces a maximum number of requests per minute. Implement a class `R
- Silent data drift detection in production ML pipeline accuracy collapse
An ML model predicting customer churn dropped from 89% to 61% accuracy overnight with no model changes deployed. The feature pipeline runs on a daily schedule and shows no errors i
- Silent Data Drift: Detecting Feature Distribution Changes Without Model Updates
An ML model predicting customer churn dropped from 89% to 61% accuracy overnight with no model changes deployed. The feature pipeline runs on a daily schedule and shows no errors i
Databricks Data Engineering questions
- Delta Lake Time Travel: Querying Historical Table Versions
Explain Delta Lake time travel. How would you use it to debug a metric that broke yesterday?
- Spark Join OOM: Check broadcast threshold and shuffle partition configuration
Write a Spark job that joins a 1TB fact table with a 2GB dimension table. The job is OOMing on a 100-node cluster — what would you check first?
- Streaming Clickstream Lakehouse: Storage, Compaction, Queries, Schema Evolution
Design a data lakehouse for streaming clickstream data at 100k events/sec. Cover storage layout, compaction, query engine, and schema evolution.
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