

Updated by Databricks candidates

Forward Deployed Engineer Interview Experience
When I went through Databricks, it honestly felt like a Palantir-style FDE loop had been transplanted over. The decomp round was so vague that if I skipped stakeholder questions and KPIs and jumped into architecture, I would have been dead.
Interview process
I got an offer for Databricks FDE, and the loop felt very structured but also pretty different from a normal SWE interview. Mine was fully remote, and the stages were recruiter, a rapid-fire technical screen, a separate practical coding round, a decomp round, and then leadership. The coding itself was not absurd LeetCode, which I appreciated. The most important round was decomp, where I had to treat the interviewer almost like a client and clarify stakeholder, scope, and KPI before touching architecture. The whole process felt like they were testing whether I could own an end-to-end enterprise solution fast.
- Recruiter screen
- Phone interview
- Technical interview
- Final round
Interview tips
I would not prep for this like standard SWE and call it a day. For coding, get good at practical easy-to-medium problems and practice talking while you code. For decomp, you need a framework or you’ll waste the whole hour wandering around a vague prompt. I’d always start with clarifying questions, scope, stakeholder, and KPI, then move into the high-level architecture. Also be very ready to show your spikes, whether that’s apps, data, or GenAI, because breadth matters but they still want to see where you’re especially strong.
Company culture
When I went through it, the FDE org felt very new and the interview process was actively being revamped. I got the sense Databricks was borrowing a lot from the Palantir FDE motion. The interviewers were not looking for super academic system design depth. They cared more about whether I could connect business value to a buildable solution, stay client-facing, and move fast. Scheduling was flexible, everything was remote, and the loop felt time-boxed enough that interviewers would guide if I started going too far in the wrong direction.
Questions asked
Overview
The last round was a leadership interview. I expected it to focus on whether I could handle the client-facing ownership side of the FDE job and move quickly with a lot of autonomy.
Question types asked
Specific questions asked
How did you handle feedback from end users?
I emphasized times where I built for real end users, showed demos regularly, took feedback, and iterated. For this role, that kind of signal matters a lot because the interviewer wants to know I can operate directly with stakeholders instead of hiding behind a ticket queue.
What parts of the stack did you personally drive?
I framed ownership as owning the whole solution. In FDE work that means front end, back end, data, and possibly GenAI as one coherent workflow. That end-to-end breadth is a big part of what they’re screening for.
How did you balance speed with getting it right?
I talked about shipping under a really compressed timeline. The best example for me was taking something from basically zero code to production-ready in 1-2 months. That matched what the role wants, which is moving like a startup implementation arm for the client while still making solid technical decisions.
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