Databricks
D

Databricks

Software Development

Apt Insight

They are moving fast at the center of the enterprise data and AI boom, with high confidence in leadership and strong equity upside. Headquartered in San Francisco, they operate globally as a massive private software company with dozens of international offices. The business is built around unifying analytics, governance, and AI infrastructure for tens of thousands of organizations. While scaling rapidly, the work environment is known to be demanding with shifting organizational priorities.
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About

Databricks is the data and AI company and we're building the future of data intelligence. We're proud that over 10,000 organizations worldwide, including industry leaders like Comcast, Condé Nast, and Grammarly, trust our Data Intelligence Platform to unify and democratize their data, analytics, and AI. Headquartered in San Francisco with a global presence, Databricks was founded by the original creators of groundbreaking technologies like Lakehouse, Apache Spark™, Delta Lake, and MLflow. Join us in shaping the future of Data Intelligence. Learn more by following Databricks on Twitter, LinkedIn, and Facebook.
Founded2013
HeadquartersSan Francisco, US
IndustrySoftware Development
Employees15.9K
Total Funding$27.3B

Posted base pay at Databricks

Posted base pay ranges from 728 job listings posted in the US, Jan 2026 – Nov 2026. Bonus and equity are not included.
Solutions Architect$180K–$248K/yr
47 listings · spread $140K–$248K/yr
Sr. Solutions Architect$219K–$301K/yr
33 listings · spread $219K–$301K/yr
Staff Software Engineer$191K–$254K/yr
26 listings · spread $182K–$268K/yr
Specialist Solutions Architect$180K–$248K/yr
23 listings · spread $180K–$301K/yr
Enterprise Account Executive$272K–$374K/yr
21 listings · spread $220K–$401K/yr
Sr. Forward Deployed Engineer$182K–$250K/yr
20 listings · spread $181K–$250K/yr
Delivery Solutions Architect$180K–$248K/yr
19 listings · spread $180K–$248K/yr
Senior Software Engineer$164K–$225K/yr
18 listings · spread $157K–$226K/yr
Each range is the median posted minimum and maximum for the role. Pay changes by location, so the spread shows the 10th to 90th percentile of all listings for the role.

Why people join & leave

Why join
Market leader in data and AIHigh compensation and equity potentialOpportunity to work with top technical talentCutting-edge open source and AI tooling
Why leave
Long hours and poor work-life balanceIncreasing corporate bureaucracyFrequent shifts in strategy and prioritiesHigh-pressure sales and technical workloads

Company Pulse

Headcount
-22%past year
Raised
$27.3Btotal
Recent: $5.3B raised

In the News

AI Runtime is Generally Available | Databricks Blogdatabricks.com · Oct 21, 2026
Databricks multi-statement transactions GA: ACID for agentslamadre.ai · Oct 20, 2026
Databricks Is Doubling Down On New York City As A Premier AI Talent Hub | Databricks Blogdatabricks.com · Oct 19, 2026
Unlock powerful insights and forecasts with Predictive AI Functions | Databricks Blogdatabricks.com · Oct 14, 2026
IPO inevitable for Databricks after adding $5B in fundingtechtarget.com · Aug 14, 2026

Employee Experience

4.0/5
Career Opportunities
3.9
Compensation & Benefits
4.2
Culture & Values
3.9
Diversity & Inclusion
3.9
Senior Management
3.7
Work-Life Balance
3.4

Quick Take

Strengths
High CEO approvalAli Ghodsi holds a 91% CEO approval rating across company reviews.
Strong business outlookRated at 84% for overall business outlook and growth trajectory.
Watch out
Strained work-life balanceWork-life balance sits at a relatively low rating of 68%.
Note
Global APAC expansionAnnounced a $350M multi-year investment to expand its Singapore regional hub.

Things to consider

Demanding workload — Employees frequently note long hours, fast pace, and unsustainable demands that drive down work-life balance.
Bureaucratic growing pains — Rapid headcount expansion has introduced organizational layers, shifting priorities, and internal politics.

Leadership

AG
Ali GhodsiCo-founder and CEO

What They Build

Databricks builds an integrated platform combining the performance of data warehouses with the flexibility of data lakes. Engineering focuses on scalable distributed systems, generative AI governance, and automated data pipelines. Technical work spans large-scale data storage engines, low-latency search systems, and high-throughput developer tooling.
Data Intelligence
Generative AI
Distributed Systems
Data Warehousing
AI Governance
Domains
Data Engineering
Infrastructure
Machine Learning
Backend
Developer Tools
Tech Stack
Apache Spark
Delta Lake
MLflow
PostgreSQL
Apache Iceberg
React
Bash
ArgoCD
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