Databricks Interview Questions
Databricks is a leading data and AI company that provides a unified analytics platform for data engineering and science. Their interviews focus on analytical thinking, technical problem-solving, and a passion for data-driven innovation.
First question from the Databricks bank
18 questions
Databricks is built around the concept of a unified data and AI platform. Tell me about a time when you worked to unify or simplify a fragmented system or process.
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Practice questions
Databricks is built around the concept of a unified data and AI platform. Tell me about a time when you worked to unify or simplify a fragmented system or process.
Databricks has a strong commitment to open source, including projects like Apache Spark and Delta Lake. How have you contributed to or leveraged open source in your work?
Tell me about a time when you had to quickly learn a new technology or domain to deliver on a project.
Databricks values customer obsession. Describe a situation where you went above and beyond to ensure a customer or stakeholder had a great experience.
Describe a time when you had to make a technical decision with significant trade-offs. How did you evaluate the options?
Tell me about a time you identified an opportunity to innovate or improve something that was not part of your explicit responsibilities.
How do you approach working with cross-functional teams, especially when there are differing priorities?
Databricks operates in a fast-moving industry. Tell me about a time you had to adapt your approach due to a rapidly changing landscape.
Tell me about a time when you had to advocate for a technical approach that others were skeptical about.
Describe a situation where you had to debug a particularly challenging technical problem. What was your approach?
How do you stay current with developments in data engineering, AI, and related technologies?
Tell me about a time when a project you were working on failed or did not meet expectations. What did you learn?
Describe a time when you mentored or helped develop someone on your team.
Databricks emphasizes collaboration between data engineers, data scientists, and analysts. Tell me about a time you worked effectively with people from different technical disciplines.
How do you handle situations where you need to deliver results quickly without compromising quality?
Tell me about a time when you had to influence a decision without having direct authority.
Describe a time when you received critical feedback. How did you respond?
Why are you interested in working at Databricks, and what excites you about the data and AI space?
Databricks interview guide
Process overview, interviewer expectations, and detailed answer examples.
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
- Research Databricks's values and culture so your answers land.
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How to prepare for Databricks interview questions
Use these questions to choose relevant examples from your own experience, then practice explaining your decisions and results out loud. The question bank is a preparation resource; your interviewer may ask different questions. Example answers illustrate an approach and should be adapted to your experience.
- Review the job description and identify the skills and responsibilities the interview is likely to assess.
- For behavioral questions, use STAR: explain the Situation, your Task, the Action you took, and the Result. Be specific about your own contribution.
- For technical questions, clarify assumptions, explain your reasoning, and discuss alternatives and tradeoffs.
- Practice one answer, review the feedback, and try again with a clearer explanation or stronger evidence.
Questions are free to browse. Sign in with a free account to read the full example answers. For more guidance, read our guide to interview stories or review how interview feedback is scored.