The hiring process at Databricks takes an average of 60 days when considering 2 user submitted interviews across all job titles. Candidates applying for Big Data Architect had the quickest hiring process (on average 60 days), whereas Big Data Architect roles had the slowest hiring process (on average 60 days).
Had an initial phone screen with a recruiter. Shortly after that was set up with a technical phone screen with an engineer. The interview was pretty standard. Everyone was pleasant, upbeat and helpful throughout. I received an email shortly after that they decided to not move forward.
I applied through a recruiter. The process took 2 months. I interviewed at Databricks in Jan 2020
Interview
I was contacted by a talent acquisition manager for a Data scientist role. I passed 7 interviews and one technical and a coding assignment. After that, I was ghosted by the recruiter, no mails no calls. I reached out to them and they said they are having a couple of meeting to shape of the team moving forward and where they need the right skillset. So they asked me to wait and then I got ghosted once more. In the end, the manager told me that they have no needs in Paris. So after 2 months of interviews and preparation, they managed my candidature in a cold way.
I'm really disappointed at the way they handle the process and I hope they upper their game to match with a big company as Databricks.
I applied through a recruiter. The process took 2 weeks. I interviewed at Databricks in Apr 2020
Interview
The recruiter did an excellent job reaching out and taking me through the candidate process. Databricks has a high bar for talent and this was reflected in all the conversations I had with the team. The process is comprehensive and allows the candidate and Databricks to understand if it will be a good match. Databricks is open about its ambitious growth plans.
Interview questions [1]
Question 1
Describe a challenging project you worked on and how you worked through it.