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Databricks·Software Engineer·Onsite - Behavioral / Leadership·Senior

Senior
May 2026

Summary

Behavioral round at Databricks for a software engineering role. Two main areas: conflict with a teammate or stakeholder, and a deep dive into your proudest project. The project deep dive was thorough enough that it felt like a mini system design conversation layered on top of a behavioral one.

Questions Asked (2)

Q1

Tell me about a conflict you had with a teammate or stakeholder. What was the situation, what did you do, and how did it turn out?

Conflict ResolutionStakeholder Management
Author's notes

I went with a disagreement I had with a PM over scope creep mid-sprint.

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AI HintsAI Generated

Suggested Approach

Choose a real conflict where you and a teammate or stakeholder disagreed on a technical decision, and narrate it using the STAR method. Focus on how you listened, used data to find common ground, and preserved the relationship while driving toward the best outcome for the project.

Pro tip: Show that you can disagree without being disagreeable—emphasize how you sought to understand their perspective and used objective criteria (e.g., benchmarks, user impact) to resolve the conflict, rather than relying on authority or emotions.

1. Set the context

Briefly describe the project, your role, and the teammate or stakeholder involved. Keep it concise so you can spend more time on the conflict and resolution.

2. Explain the conflict

Clearly state the disagreement—what each side wanted and why. Avoid blaming; focus on the technical or business trade-offs.

3. Describe your actions

Detail how you addressed it: e.g., scheduled a 1:1, listened actively, gathered data, proposed a compromise, or escalated appropriately. Highlight collaboration and empathy.

4. Share the outcome

Explain the resolution and its impact: did you reach consensus, improve the solution, or learn something? Mention any positive relationship or process improvements.

5. Reflect and learn

Conclude with what you learned and how you've applied it since. This shows growth and self-awareness.

Key Points to Mention

  • Active listening and empathy for the other person's perspective
  • Use of objective data or benchmarks to evaluate options
  • Focus on shared goals (e.g., project success, user impact) rather than winning the argument
  • Willingness to compromise or adopt the other's idea if it's better
  • Maintaining professionalism and strengthening the relationship
  • Specific positive outcome (e.g., improved performance, faster delivery, better team process)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

Walk me through the project you're most proud of. Be ready to go deep on your specific role, the technical decisions you made, trade-offs, how you measured success, cross-functional collaboration, timelines, risks, failures, and what you'd change.

Technical Trade-offsCross-functional AlignmentProduct Analytics & Metrics
Author's notes

This one ran long.

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AI HintsAI Generated

Suggested Approach

Choose a project where you owned a significant technical component and can clearly articulate the problem, your decisions, and measurable outcomes. Structure your answer as a narrative that highlights trade-offs, collaboration, and lessons learned, while tailoring it to Databricks' focus on data and scalability.

Pro tip: Quantify impact with metrics that matter to Databricks (e.g., latency reduction, cost savings, scalability improvements) and be honest about failures—showing how you iterated demonstrates maturity and a growth mindset.

1. Set the Context

Briefly describe the project's goal, your role, and the team structure. Keep it concise to leave time for deep technical details.

2. Explain Technical Decisions and Trade-offs

Detail the key technical choices you made, alternatives considered, and why you chose your approach. Highlight trade-offs in performance, cost, and maintainability.

3. Describe Cross-functional Collaboration

Explain how you worked with other teams (e.g., product, data science, DevOps) to align on requirements, timelines, and risks. Mention any conflicts and how you resolved them.

4. Measure Success and Outcomes

Share the metrics you used to evaluate success (e.g., user adoption, latency, cost savings) and the results. Be specific about your contribution.

5. Reflect on Failures and Improvements

Discuss a failure or risk you encountered, how you handled it, and what you would do differently. Emphasize lessons learned and how they apply to future work.

Key Points to Mention

  • Specific technical decisions (e.g., choice of database, architecture patterns) and the trade-offs involved
  • Metrics used to measure success (e.g., performance benchmarks, cost reduction, user engagement) and their impact
  • Cross-functional collaboration examples, including how you aligned with stakeholders and handled disagreements
  • Timeline management, including how you prioritized tasks and mitigated risks
  • A failure or challenge, what you learned, and how you would approach it differently now
  • Alignment with Databricks' values, such as scalability, data-driven decision making, and customer obsession

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.