Clear structure as far as stages are concerned. Although I have not had strict Databricks/Spark experience I was approached by the Databricks recruiter, was given the opportunity to go ahead with the interview and passed the technical stages, was told i did not do as well at project and Architecture SME stage, with very superficial verbal feedback, no written feedback was provided.

Rejected in last round as they found a cheaper candidate. No concrete feedback shared yet. There were many rounds to prepare a candidate but then there is no proper feedback which help you get an offer.

The process consisted of six rounds over nearly two months, including: • A take-home technical coding assignment • Technical deep dive (Spark, cloud, architecture) • Project delivery discussion • Architecture & SME panel • Executive round • (Supposed) Hiring Manager wrap-up Each round was structured and relevant to the role. I appreciated the depth and the quality of questions, and the interviewers were professional and respectful throughout. Unfortunately, after progressing through all six rounds — and investing significant time and effort (even during my paternity leave) — I received a generic rejection email stating that I was “not selected due to technical reasons.” There was no opportunity to receive feedback, nor was the final wrap-up interview (as outlined in their own interview guide) conducted. If technical fit was a concern, it’s unclear why the process proceeded through so many late-stage interviews. It felt like a poor use of candidate time, with no closure, despite the heavy investment on both sides.