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THE INTERVIEW BRIEFING

Databricks Interview Guide

Prepare for Databricks with a focused mix of coding, design, and communication. Start with your job description and confirm the interview loop with your recruiter.

6 Practice picks 3 Interview reports 5 Levels mapped

01 / MAKE YOUR NEXT SESSION COUNT

Your preparation, made concrete.

AlgoDaily practice • not reported questions
0135 min suggested

Coding fluency

Implement an LRU cache. Explain your data structures, test capacity one, and walk through an eviction.

What a strong answer demonstrates

Correctness, edge cases, and time / space complexity.

0240 min suggested

System design

Design a notification service. Clarify delivery guarantees, model the data, then handle retries and duplicate events.

What a strong answer demonstrates

Clear requirements, a working baseline, and explicit trade-offs.

0320 min suggested

Behavioral storytelling

Describe a technical decision you changed after receiving feedback. Explain your contribution and the outcome.

What a strong answer demonstrates

Specific actions, honest reflection, and measurable impact.

BEFORE YOU PRACTICE

Ask your recruiter.

Get the details that a generic company guide cannot know.

  • Which team and level is this opening for, and what does success look like?
  • What rounds, durations, and evaluation criteria should I prepare for?
  • Which languages, tools, and AI assistance are permitted?
  • Will design focus on frontend, backend, infrastructure, or another specialty?
  • Are there accommodations or preparation materials I should request?

Databricks practice problems

Company-linked challenges and related lessons from our library. Not a prediction of your interview.

Real interview experiences

3 reports from candidates who interviewed at Databricks.

What people at Databricks say

Reviews originally posted on Glassdoor.

Smart, passionate peers with tons of experience from leading companies. Not only does it make it an enjoyable place to work, but a great place to develop your skill set
In the intersection of the biggest tech trends - AI, Big Data, Cloud. Great opportunity to learn from the best in the field.
We have complicated technical challenges but we have the right team of people to solve them and excel. The culture here focuses on helping each individual of the team to get things done - well. And it is amazing the impact we have within the company, our customers, and our community!
Compact engineering core keeps work environment tight knit. Still has some small-company vibes (bi-weekly boba, random "snack attacks")
The company is growing fast and and the ceiling seems nonexistent. If you are looking for a challenge and want to learn and enhance your Data science skills then this is the place to. be.
Inside the workplace

About Databricks

A day at Databricks