The hiring process began with a LinkedIn message from the VP of Field Engineering. After an initial brief call, the official process commenced in Q1 2020. The role was within the Field Engineering team. After completing a lengthy and time-consuming process, including six interviews and a relatively substantial coding challenge, it was unfortunate to learn that my offer letter would not be released due to the hiring freeze during the first COVID lockdown.
What surprised me most was that instead of fulfilling the promise to send the offer when possible, one of the VPs of Field Engineering interviewed me again after six months. He asked what technologies I had worked with in the past six months and why I hadn't worked on Spark. He requested I solve the coding challenge once more, believing I might have lost my coding skills. Meanwhile, the other VP, whose team I was to join, didn't even bother to reply to my emails.
After dedicating 20-30 hours to the entire process, I felt disrespected to receive a rejection stating I lacked the skills for the position. This was by far the worst interview experience of my entire professional career.
I am unsure if I would consider applying there again to work under such a leadership team.
Technical and behavioral questions were asked.
The following metrics were computed from 6 interview experiences for the Databricks Solutions Architect role in Germany.
Databricks's interview process for their Solutions Architect roles in Germany is very selective, failing most engineers who go through it.
Candidates reported having mixed feelings for Databricks's Solutions Architect interview process in Germany.