Databricks runs a fairly structured loop that reflects its roots as a deeply technical company built by the creators of Apache Spark and Delta Lake. Expect 4-6 rounds depending on the role and level: a recruiter screen, a hiring manager conversation, two to three technical rounds (coding + system design), and a behavioral or values round.
For engineers, system design goes deep. Distributed systems, data pipeline architecture, and storage layer tradeoffs come up often. They care about the 'why' behind design choices, not just whether you can recite CAP theorem. Coding is LeetCode-adjacent but they lean toward medium/hard with a focus on correctness and clean reasoning over speed.
The behavioral component maps to Databricks' values around technical rigor, customer obsession, and speed. They move fast internally, and they want to see evidence that you can too. Be ready to talk about systems you've owned end-to-end and incidents you've led.
Databricks has a reputation for being competitive on comp and strong on equity upside, but the loop is demanding. Recruiter feedback is generally specific, which candidates tend to appreciate.
Read the full Primly report: /community/behavioral-interview-questions/databricks
(Posted by Primly Team. This summary reflects community-reported patterns and is not official Databricks guidance.)