Databricks

Databricks Interview Questions

The coding and system-design questions asked in Databricks interviews - with worked solutions, in-browser code execution, and active-recall review. 2 questions.

How Databricks interviews software engineers

Databricks runs a recruiter screen, a technical phone screen, sometimes a take-home, and a virtual onsite of four to six rounds, followed by hiring-committee review, references, and offer. Team matching can happen along the way.

Technical rounds go deep on systems: algorithms and data structures, but also concurrency, multithreading, I/O, and performance - reflecting the company's data-infrastructure focus. System design is often done collaboratively in a shared doc, and there is a hiring-manager round blending technical depth with behavioral fit.

The interview loop

  1. 1Recruiter screen~30 min on background, technical interests, and motivation.
  2. 2Technical phone screen~60 min on CoderPad - algorithms and data structures, sometimes SQL or Spark fundamentals.
  3. 3Take-home (sometimes)A practical assignment (advanced SQL or a Spark job), usually 48-72 hours, ~3-5 hours of work.
  4. 4Onsite panel4-6 one-hour rounds: coding, system design (often in a shared doc), systems programming (concurrency, performance), domain deep dive, and a hiring-manager / behavioral round.

What they look for

  • Systems depth: concurrency, synchronization, I/O, and performance
  • Strong algorithms plus practical data-engineering fluency
  • Collaboration and conflict-resolution signal in behavioral rounds

How to prepare

  • Go beyond LeetCode - revise multithreading, synchronization, and performance fundamentals.
  • Brush up SQL and Spark basics if your role touches data infrastructure.
  • Practice collaborative system design in a plain doc, talking through trade-offs.

Sources

See every company's references on the interview-process sources page.

Practice questions