Amazing founders, great culture, and the smartest people. Databricks is well-positioned in the data and AI space across all the clouds, and the Lakehouse Platform is a game-changer. Every Brickster embraces the company vision and culture. There is so much innovation at a super-fast pace from R&D and product, and the field is super talented to use that effectively in solving customer needs.
Growing super fast, and the road might be a little bumpy, but the company sure knows where to go and how to get there.
Applied online via careers site. Recruiter (usually via email or call). Hiring Manager (via Google Meet). Some tech rounds by other senior architects (not sure how many; I did not reach that stage as I was rejected in the hiring manager round).
Extremely unprofessional interviewer who worked on his own stuff the entire interview and deliberately didn't reveal the second part of the question. Attitude is bad and impatient. If you don't want to interview, just don't accept the interview. I'd
The first part was the Technical Screen without OA. It was a standard graph problem, maybe like a Leetcode Medium. It was an hour total, and I had about 10 minutes at the end to ask my interviewers some questions.
Applied online via careers site. Recruiter (usually via email or call). Hiring Manager (via Google Meet). Some tech rounds by other senior architects (not sure how many; I did not reach that stage as I was rejected in the hiring manager round).
Extremely unprofessional interviewer who worked on his own stuff the entire interview and deliberately didn't reveal the second part of the question. Attitude is bad and impatient. If you don't want to interview, just don't accept the interview. I'd
The first part was the Technical Screen without OA. It was a standard graph problem, maybe like a Leetcode Medium. It was an hour total, and I had about 10 minutes at the end to ask my interviewers some questions.