Databricks interview questions

HR Screen > Manager Interview.. The first 15 minutes felt normal. Standard questions about my background, why I was interested in the role, and my experience with product roadmaps. Then things took a sharp turn. Instead of asking about my leadership philosophy or how I'd approach their specific challenges, the interviewer began drilling down into the proprietary methodologies my current company uses... I felt I was taken for advantage as the interviewer tend to search for information as we're competitors. Not something I would expect from a brand like Databricks, very disappointing.

Sent in my CV through the open roles portal for a SWE (Backend) role. Sourcer reached out to schedule a 30 min recruiter call describing the role and giving me the opportunity to discuss my background (ML PhD, somewhat unrelated to the role), after which we scheduled a 1h technical screen (algorithms/data structures). Got notified same day that feedback was very positive and that they'd like to proceed to an onsite loop. Onsite loop was scheduled about a week out, 2 1h interviews per day on Monday and Tuesday. Monday was behavioral with Directer of Engineering + algorithms/data structures, Tuesday coding + systems programming. Got notified on Wednesday that feedback was good again and that they'd like to proceed with reference checks. Submitted references and synced with them about the process by Monday of the next week, and the calls were happened on Wednesday and Thursday. Due to how the hiring committee works, it took until Tuesday of the next week before I got the confirmation they would be extending an offer, after which it took a few more days to get a concrete offer, which I negotiated for about another week before signing. The CoderPad platform was used for writing code and Google Meet for the call. Recruiters have access to a fairly complete list of recommended resources for the interviews, so make sure to ask if they don't send it over automatically.