Sr. Project Manager applicants have rated the interview process at Databricks with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 47.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Sr. Project Manager roles take an average of 44 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Databricks overall takes an average of 35 days.
Common stages of the interview process at Databricks as a Sr. Project Manager according to 3 Glassdoor interviews include:
One on one interview: 25%
Presentation: 25%
Phone interview: 13%
Group panel interview: 13%
Skills test: 13%
Background check: 13%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 months. I interviewed at Databricks (Singapore) in Feb 2026
Interview
Sr Project Manager based in Singapore. (3+ months of process)
A lengthy and demanding process. In total, 6 interviews of approximately one hour each, which were genuinely high quality: the conversations were substantive and the people I met were particularly attentive and receptive. At the end of each stage, I received an email from the HR team inviting me to share my feedback and confirming my progression to the next step.
Unfortunately, after the final interview, all communication stopped — no email, no phone call — despite three follow-up attempts on my part. I find this lack of response quite unprofessional, especially given that candidates invest real effort in this kind of process: they prepare, reorganise their schedules, and dedicate several hours of their time to see it through. The bare minimum would be a message — whether positive or negative — along with some feedback or explanation from the recruitment team.
I am all the more disappointed as I was genuinely interested in the role, which appeared to be a strong match for my profile based on the various interviews conducted. A process that clearly needs revisiting.
Other Sr. Project Manager Interview Reviews for Databricks
I applied through an employee referral. The process took 2 months. I interviewed at Databricks (San Francisco, CA) in Aug 2025
Interview
I made it all the way to the final round. Lots of back channeling, inconsistent training and lines of questioning from senior-level members of the panel. In general, they say they want high performers and it is super competitive but it’s quite apparent they only want people from the same background or lineage as them (Seattle large-cap tech). Not open to different ways of thinking and use “lack of applicable experience” as general feedback when in reality they could have determined that at the recruiter screen. The take home was basically free work as it was apparently poorly written with lots of issues on the technical side.
Interview questions [1]
Question 1
Tell me about a time you had a conflict with engineering?
I applied through a recruiter. The process took 4 weeks. I interviewed at Databricks (Seattle, WA) in Oct 2021
Interview
Recruiter reached out to me and the interview process was fairly relaxed. No one specific day was scheduled for a full set of interviews as usual with other tech companies. Effectively each interview was a gate for the next interview and they were scheduled when time allowed. This did drag out the process a bit but I didn't mind as I was not actively looking at the time.
Questions were more related to my existing feature efforts and how I approached and handled certain situations rather than pure product sense questions. Experience in the domain and approach were their biggest priorities.
In addition to the interview, they will also ask you to go through a data science exercise using Databricks and ask you for some writing samples. After that entire process, they will ask you to do a presentation to evaluation your presentation and communication capabilities.
Interview questions [1]
Question 1
Describe a time where you had conflicting asks from a large and small customers and how did you handle it?