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Databricks Account Executive Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 83 interview experiences · FREE TO READ

3 Rounds average
38.7 Day average
Average Typical difficulty
55.4% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Databricks.

Showing 3 of 83
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Account Executive

Sales · half a year ago

Entry Difficult Positive experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

The first interview was good. It was pretty much a checklist that I failed, but generally friendly and grateful for the opportunity. It was a clear no, though. Very professional and a bit formulaic questions.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

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Account Executive

Sales · San Francisco, CA · nearly a year ago

Senior Difficult Negative experience No offer 4 rounds
Interview process
Phone screen Technical screen Group
Interview formats
Behavioral Technical Presentation Group Other

The hiring process was extremely long, difficult, and overly demanding, requiring unreasonable amounts of research and data preparation that really seemed like the actual scope of the role. It was hard to interpret virtually, with several tense, recorded one-on-one interviews, and these were further disrupted by senior management not showing up at scheduled times. The overall environment felt perfunctory, making me think they already had an internal candidate and were just proceeding for elimination or backup. The final interview was held virtually in a large group setting—a reasonable format for a sales role—but there was no mention of any in-person component. This included demands for very deep dives into technology topics that usually need an engineering resource to provide credible data, putting the sales candidate in the awkward position of maybe having to speculate or "make things up." I also noticed signs of serious bias: the team lacked racial diversity (everyone appeared to be white/Caucasian) and they made negative remarks in 1:1 meetings that hinted at ageism and racial factors, specifically aimed at candidates from certain technology companies or backgrounds.

Confirmed questions1 question
  • Please walk through Databricks' value proposition, outline how its architecture differs from a competitor like Snowflake, and explain the main competitive advantages that help Databricks win in the market.
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Databricks

Account Executive

Sales · United States · a year ago

Mid Difficult Negative experience No offer 7 rounds About a month
Interview process
Phone screen Onsite Presentation
Interview formats
Behavioral Presentation

I went through seven interviews and was told to get ready for what seemed to be the final round — a 60-minute presentation to be given to a group of executives I had already met. They first scheduled the presentation more than three weeks out, which felt excessive, but when I questioned the timing, they moved it up to just a little over a week away. I spent that week carefully preparing the presentation. Then, only two days before the scheduled session, I was told that because of a “shift in focus” from leadership, I was no longer being considered. After putting weeks into the process and being asked to prepare for what was framed as the last step, canceling it at the last minute was incredibly disrespectful. If this is how they treat candidates, I can only imagine how they treat employees. It’s a really bad look for the company — likely a sign of poor leadership and a top-down cultural problem, possibly coming from the VP of Sales at CME.

Confirmed questions1 question
  • What makes you interested in this company and in this particular role?

Databricks Account Executive Interview Questions

Quoted word for word from Databricks interview reports.

Can you explain what a data warehouse is and how it differs from a regular database?

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How would you explain the difference between a database, a data warehouse and a lake house?

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Who do you think are the main personas that Databricks brings the most value to?

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How do I prioritise within my book of business to decide where to start prospecting?

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Walk me through the use case or your POV on a data lake vs a data warehouse, and why a customer would find value in a data Lakehouse?

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How would you go about selling Databricks into your market – what kind of use cases would you focus on?

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There really weren’t any unusual questions. Why do you want to work at Databricks?

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Who specifically do you know over in CIS that you could reach out to and work with to quickly position Databricks solutions to win favorable contracts?

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After you landed a deal, what was your plan to expand into other teams?

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Formats, difficulty and experience

Across all 83 Databricks interview reports.

Interview formats

Behavioral 37.3%
Other 24.1%
Presentation 17%
Group 8.5%
Technical 8%

Interview difficulty

Easy 12%
Average 45.8%
Difficult 42.2%

Candidate experience

Negative 33.7%
Positive 55.4%
Neutral 10.8%