Databricks interview questions

The application involved an initial phone screening followed by two technical interviews, both of which were Data Sctructures & Algorithm problems + some minor system design. There was supposed to be a behavioral interview after but I did not get there. The inverviewers were very nice and helpful.

The interview process felt completely disorganized and misaligned from the start. While the HR stage was brief and superficial, the real issue was the follow-up interview with the Hiring Manager. It was chaotic, rushed, and lacked any clear structure. I barely had the chance to speak or ask questions before being interrupted or redirected. It honestly felt like they were just trying to get through it as fast as possible. The questions jumped all over the place — far beyond what was described in the job posting or what HR had outlined. It was a confusing mix of system design, coding, and behavioral questions, with heavy focus on implementation details that clearly targeted a pure software engineering profile rather than an ML engineer role. There was little to no discussion about the actual projects, the team, or how my experience could fit in. Overall, the whole thing came off as generic, uncoordinated, and poorly thought-out. It felt like they weren’t evaluating people for the role described, but for some internal checklist that had nothing to do with the position advertised. 4. This interview