Databricks Interview Process & Rounds
Databricks' loop is a recruiter call, one technical phone screen, and a virtual onsite of two coding rounds, a system design round, and a behavioral or hiring-manager round; senior and staff loops swap a coding round for a tech-fit project discussion. Then comes the part the reports talk about most: a hiring committee and reference checks after the onsite. Several candidates report strong-hire feedback on every round followed by a committee rejection with no technical reason given, and reference strength — including whether a current manager can be reached — is named as the deciding factor more than once. The coding rounds run 45-60 minutes, and implementation-style rather than LeetCode: firewall rules over CIDR blocks, a key-value store that reports its own QPS, a snapshot-set iterator, a multi-threaded log writer with synchronous disk writes. The pool is small enough that candidates report seeing the exact question they prepared, and the grading is strict about it: one report passed every test case with a single small bug and was rejected the same day. Interviewers expect you to write your own tests. In system design the interviewer usually has a standard answer in mind and steers toward it; reports advise following that lead rather than arguing, and pseudocode is expected for the concurrency parts. Decisions are fast — a median of four days from onsite to outcome, with same-day and next-day rejections common and a one-year re-apply freeze reported.
Key facts
- •5 distinct round types
- •57 questions reconstructed from 402 candidate reports
- •Reports span Jan 2025 – Aug 2026
- •Refreshed monthly · last updated September 2026
The Databricks loop, from candidate reports
Databricks' loop is a recruiter call, one technical phone screen, and a virtual onsite of two coding rounds, a system design round, and a behavioral or hiring-manager round; senior and staff loops swap a coding round for a tech-fit project discussion. Then comes the part the reports talk about most: a hiring committee and reference checks after the onsite. Several candidates report strong-hire feedback on every round followed by a committee rejection with no technical reason given, and reference strength — including whether a current manager can be reached — is named as the deciding factor more than once. The coding rounds run 45-60 minutes, and implementation-style rather than LeetCode: firewall rules over CIDR blocks, a key-value store that reports its own QPS, a snapshot-set iterator, a multi-threaded log writer with synchronous disk writes. The pool is small enough that candidates report seeing the exact question they prepared, and the grading is strict about it: one report passed every test case with a single small bug and was rejected the same day. Interviewers expect you to write your own tests. In system design the interviewer usually has a standard answer in mind and steers toward it; reports advise following that lead rather than arguing, and pseudocode is expected for the concurrency parts. Decisions are fast — a median of four days from onsite to outcome, with same-day and next-day rejections common and a one-year re-apply freeze reported.
What does Databricks ask in each round?
Databricks interviews span 5distinct round types, shown below. Counts reflect distinct questions per round across the loops we’ve indexed.
- •Clarifying requirements exhaustively before writing a line. On the log writer the interviewer had a specific implementation in mind, and the report that passed says the round turned on pinning down preferences upfront; another advises recognising early when the interviewer has a direction and aligning with it.
- •Writing your own test cases and running them before the interviewer asks. Two debriefs cite test coverage directly — one rejection read ‘test cases not comprehensive’ — and a tic-tac-toe candidate lost time because the function never specified move order and the tests had to establish it.
- •Showing the concurrency primitives rather than hiding behind a thread-safe container. One recruiter debrief was explicit: do not use thread-safe data structures, demonstrate when to lock and unlock. The Slack design round asks the same thing in reverse — ‘why not a plain HashMap, and how does ConcurrentHashMap work inside?’
- •Raising the failure mode before the interviewer does. The bookstore round's recorded pass is the candidate who volunteered that the cheapest copy might be sold between the quote and the hold, and that the downstream sellers must not be overloaded; the KV-cache round rewards addressing WAL truncation and snapshot coordination unprompted.
- •Following the interviewer's lead in design. Reports describe interviewers who guide toward the answer they want and probe every decision; the advice is to listen and adapt rather than defend, and to explain each choice out loud because nothing is assumed understood.
- •Shipping code with a bug. One candidate passed all test cases with one small bug and received a same-day rejection; another wrote a working solution slowly with bugs and got no follow-up questions, which the report reads as the interviewer having already decided.
- •Running out of time on the second problem or the optimal version. A redo round failed on not reaching the O(n) solution with code incomplete; a bit-manipulation second problem sank another loop; and on the commute problem the interviewer rejected a min-heap solution and one BFS per transport mode, insisting on a single pass.
- •Using a thread-safe structure you cannot explain. Reaching for ConcurrentHashMap without knowing its internals is a recorded failure in the multi-threaded Slack variant, and the log writer is graded on whether busy-waiting was actually eliminated.
- •Walking into the distributed file system round on intuition. One rejection says it plainly — ‘talked entirely from gut feeling, so I failed’ — and the file system round explicitly rejects S3-style last-writer-wins copied from a textbook when the requirement is strong consistency.
- •Treating the behavioral and hiring-manager rounds as a formality. One loop had strong hire on all three technical rounds and failed on a very negative HM round; staff candidates were dinged for examples whose scope was too small for the level.
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