Databricks

Databricks has a fast-paced, stable culture. Top 4% for Pay vs market - significantly above average. Bottom 3% for Promotion rate - significantly below average.

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Our culture principles unite us and guide everything we do

We are customer obsessed
The customer is at the center of everything we do. What’s best for the customer is best for Databricks.

We raise the bar
Every day is an opportunity for us to do even better — as team members and as a company.

We are truth seeking
We make our decisions based on data, and we adapt as it changes.

We operate from first principles
First principles thinking drives our innovation and leadership. To build lasting impact, we start with why.

We bias for action
Speed is critical. We debate, plan, execute — and iterate — with urgency.

We put the company first
We do what’s best for the company, which ultimately incorporates all our culture principles.

Standout Strengths

Top 4% for Pay vs market - significantly above average.

Bottom 5% for Layoff risk - well below the typical rate.

Top 7% for Company strategy - significantly above average.

Top 8% for Transparency with ICs - significantly above average.

Areas of Concern

Bottom 3% for Promotion rate - significantly below average.

Bottom 6% for IC autonomy - significantly below average.

Bottom 18% for Cooperation between employees - significantly below average.

How well does Databricks adhere to its principles?

Higher than 59% of companies · median 43

Where do ideas come from?

Higher than 82% of companies · median 36

Organizational Power

Employee count

Large Enterprise9,998 employees

Average Hours Worked

Pace

Higher than 88% of companies · median 60.5

Remote Friendly?

Hybrid/Mixed Bag

How Information Shared

Meetings

Compensation Relative to Market

Higher than 96% of companies · median 115

AI Insights:
Databricks is a rocket ship with no suspension - fast, technically brilliant, and financially rewarding if you can stomach the ride. Founders run the show top-down, stack ranking rewards the loudest peacocks, and WLB is whatever your manager decides it is that quarter. The IPO has been 2 years away since 2019. Smart people, great tech, mediocre humans.

AI stack

Databricks Lakehouse | MLflow | Delta Lake | Apache Spark | Unity Catalog

AI maturity

Higher than 91% of companies · median 60

Detailed Compensation Information

Levels.FYI

Review Comments

Glassdoor

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Frequently asked questions