Databricks

What Databricks does

Databricks is an AI-native company: Data and AI platform for the enterprise. That matters for anyone considering a role here, because the work sits on the company's critical path rather than off to the side — the systems you build compound directly into the product's value.

Being AI-native also shapes the team. Hiring skews toward people who have shipped AI systems in production, the pace is fast, and the bar for technical judgment is high. The upside is leverage: your work is visible and the problems are genuinely hard.

What it's like to work at Databricks

A few culture data-signals, read straight from Databricks's live postings rather than from a careers-page mission statement:

• Remote: 43% of current openings are remote-friendly.
• Seniority: the team is weighted as shown below — a useful read on how much mentorship vs. ownership to expect.
• Tech stack: Scala, Python, Spark, Kubernetes.

A higher share of senior and staff roles signals a team that expects ownership from day one; a heavier mid-level share usually means more structured ramp-up and mentorship.

What Databricks pays

Across its open roles, Databricks's posted total compensation spans $155k–$380k, with the band widening at senior and staff levels as equity becomes the larger slice. Databricks weights offers toward equity, so the realised number tracks how the company performs over your vest.

For role-by-role detail — percentiles, pay by seniority, and how base splits from equity — use the salary guides linked beside each role below.

Roles Databricks is hiring for

The roles Databricks is most actively hiring right now, with a live count and a link to the salary guide for each:

The full list of open roles, with comp and location on every posting, is in the board above.

How hiring works at Databricks

Databricks's loop looks like a typical AI-native process: a recruiter screen, a practical technical round, an applied/system session on shipping AI in production, a team-and-values conversation, and a final with a hiring manager or founder. Your level — and therefore your offer — is set in this loop.

That is why preparation beats negotiation. Landed scores your background against a specific Databricks posting, shows the skills and signals you're missing, and drills the interview until you walk in ready.