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.

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.