Company profile
Databricks
Databricks is the lakehouse and AI platform built on Apache Spark, MLflow, Delta Lake, and Mosaic ML, racing to IPO at a $60B+ valuation. Loops are deeply technical and biased toward distributed systems and Spark-internals knowledge, with a hiring committee that compares candidates explicitly across the same role family.
The Databricks interview process
Databricks loops are deeply technical and biased toward distributed systems and Spark internals. A hiring committee compares candidates explicitly within the same role family, so consistency and depth matter. Expect hard coding rounds plus a system design that pushes on large-scale data processing.
- 1
Recruiter screen
Role family and level fit.
- 2
Coding (x2)
Strong algorithmic problem solving.
- 3
Distributed systems design
Large-scale data processing and execution tradeoffs.
- 4
Hiring committee review
Cross-candidate calibration within the role family.
What Databricks is looking for
What they value
- Distributed systems reasoning under load
- Familiarity with data processing internals
- Consistent strength across every round
Culture signals in the loop
- Genuine depth in distributed systems
- High technical bar and intensity
- Ownership of hard infrastructure problems
Questions and process by role
Databricks hires across several engineering and product functions, and the loop shifts with each one. Open a role for the reported questions, the round-by-round focus, and a salary band for that function.
- ML engineer
ML engineer interview questions and process at Databricks.
engineering - AI engineer
AI engineer interview questions and process at Databricks.
ai - AI infrastructure engineer
AI infrastructure engineer interview questions and process at Databricks.
ai - AI red team engineer
AI red team engineer interview questions and process at Databricks.
ai - AI research engineer
AI research engineer interview questions and process at Databricks.
research - MLOps engineer
MLOps engineer interview questions and process at Databricks.
ai - Analytics engineer
Analytics engineer interview questions and process at Databricks.
data - BI engineer
BI engineer interview questions and process at Databricks.
data
Salary signal
Approximate senior median pay for Databricks's core roles, anchored to San Francisco and modeled from BLS, ONS, and Levels.fyi reference medians. These are market bands for the role and city, not Databricks offers. Open a role for the full city-by-city table.
Employee reviews
Databricks holds a 4.3 Glassdoor rating. External review scores are directional signals. Treat them as context alongside the specific team, location, level, and hiring manager you are interviewing with.
Glassdoor 4.3