TL;DR — Key Numbers
- Databricks has approximately 7,000–10,000 employees as of 2026, based on our research.
- The company grew headcount by roughly 24% year-over-year in 2025 and hired aggressively ahead of an anticipated IPO.
- Databricks has 834 open roles — the most of any company in our database of 90+ companies.
- At a $134B valuation, Databricks is the most valuable private enterprise software company in the world, ahead of an expected IPO in late 2026.
Databricks has become one of the most important companies in enterprise AI — and one of the most aggressive hirers in tech. Founded in 2013 by the team behind Apache Spark, the San Francisco-based data and AI company is valued at $134 billion following its December 2025 Series L funding round, making it the most valuable private enterprise software company in the world.
Based on our research, Databricks had approximately 7,000–10,000 employees as of April 2026. Multiple workforce intelligence sources have estimated total headcount at 8,000–14,000 at various points in 2025, with CEO Ali Ghodsi announcing plans to hire 3,000 additional people in 2025 alone. Databricks currently posts 834 open roles — by far the highest count of any company in our database.
Databricks Employee Count at a Glance
| Metric | Detail |
|---|---|
| Estimated employees (2026) | 7,000–10,000 |
| Year-over-year growth (2025) | ~24% |
| Headquarters | San Francisco, CA |
| Other major offices | Amsterdam, London, Bengaluru, Singapore, NYC, Seattle |
| Open roles (live) | 839 |
| Valuation | $134B (Dec 2025 Series L) |
| Annualized revenue (mid-2025) | $3.7B+ |
| Glassdoor rating | 4.2 / 5.0 |
Databricks Headcount Growth Timeline
Databricks’ headcount growth has been consistent and substantial, driven by revenue growth, AI tailwinds, and pre-IPO scaling:
| Year | Est. Employees | Key Event |
|---|---|---|
| 2020 | ~1,200 | Series F at $6.2B valuation |
| 2022 | ~3,500 | Series H at $38B; Delta Lake open-sourced |
| 2023 | ~5,000 | MosaicML acquisition ($1.3B); AI push begins |
| 2024 | ~6,500–8,000 | $4B Series J at $62B; 3,000-hire plan announced |
| 2025 | ~9,000–12,000 | $4B Series L at $134B; $3.7B ARR milestone |
| 2026 | ~7,000–10,000 (est.) | 834 open roles; IPO preparation underway |
Note: The wide variance in 2026 estimates reflects methodology differences across workforce intelligence sources. Some count contractors and extended workforce; others track only direct employees. Databricks has confirmed aggressive hiring targets.
Databricks Employees by Department
Based on our research and analysis of job posting patterns, here’s how Databricks’ workforce is roughly distributed:
- Engineering & Product (~35%): The largest department, spanning data engineering, ML platform, lakehouse infrastructure, and the DBRX model team. Databricks has one of the largest platform engineering teams in enterprise software.
- Sales, Solutions & Customer Success (~30%): Enterprise sales, field engineering, and customer success. Databricks’ land-and-expand motion means customer success is critical to revenue growth.
- Research & AI (~10%): The Mosaic Research team (from the MosaicML acquisition) focuses on foundation models, training efficiency, and AI capabilities. This group built DBRX and MPT.
- Marketing, Partnerships & Community (~10%): Developer relations, ecosystem partnerships (including Apache Spark and Delta Lake communities), and enterprise marketing.
- Operations, Finance, HR & Legal (~15%): Scaling rapidly ahead of the anticipated IPO, including the addition of public company finance and compliance infrastructure.
Databricks vs. Snowflake: Headcount Comparison
The most frequently asked comparison is Databricks vs. Snowflake, since both companies compete for the same enterprise data platform budget. Here’s how they stack up on headcount:
| Company | Est. Employees (2026) | Valuation / Market Cap | Open Roles |
|---|---|---|---|
| Databricks | ~7,000–10,000 | $134B (private) | 839 |
| Snowflake | ~6,000–7,000 | ~$45B (public) | — |
| MongoDB | ~5,000 | ~$15B (public) | — |
| Elastic | ~3,000 | ~$9B (public) | — |
Databricks has been growing headcount faster than Snowflake, which faced some headcount pressure following its 2024 CEO transition from Frank Slootman to Sridhar Ramaswamy. Databricks’ AI positioning — built on the MosaicML acquisition and strong Apache Spark heritage — has attracted sustained investor and talent interest that Snowflake has struggled to match in the AI era.
The IPO Effect on Databricks Headcount
Databricks is expected to file its S-1 in the second half of 2026. Pre-IPO companies typically accelerate hiring in two areas:
- Finance & accounting: Building the public company reporting infrastructure required by the SEC.
- Legal & compliance: Securities law expertise, corporate governance, and audit committee support.
- Investor relations: IR teams, analyst relations, and executive communication functions.
The 834 open roles reflect this pre-IPO buildup alongside continued core hiring in engineering and sales. For candidates considering a Databricks role, joining at this stage means entering a company at an inflection point — RSUs will have a clear path to liquidity once the company goes public.
Bottom Line on Databricks’ Employee Count
Databricks has an estimated 7,000–10,000 employees and is hiring aggressively with 834 open roles — the most of any company we track. At a $134B valuation and $3.7B+ in annualized revenue, the company is clearly in IPO preparation mode. For engineers, data scientists, and enterprise sellers, Databricks offers a rare combination: pre-IPO equity upside, a genuinely technical culture, and a product category (AI/data lakehouse) that is at the center of enterprise IT spending in 2026.
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