Executive Spotlight: Ali Ghodsi, Co-Founder and CEO of Databricks (2027)

Current role and company

Ghodsi leads Databricks, which describes itself as a data and AI company and says it was founded in 2013 and is headquartered in San Francisco. Its stated mission is to simplify and democratize data and AI. His co-founders are Ion Stoica (Executive Chair), Matei Zaharia (CTO), Patrick Wendell, Reynold Xin, Andy Konwinski and Arsalan Tavakoli-Shiraji, according to Databricks' founders page.

• Title (Databricks leadership page)Co-founder and Chief Executive Officer.
• CEO sinceJanuary 2016, announced January 11, 2016.
• Company founded2013, per Databricks' About page.
• Academic post (Databricks bio)Adjunct professor at UC Berkeley and on the board of its RISELab.

Career path

• 2003 and 2006: education in Sweden. Databricks' biography lists an MBA from Mid-Sweden University in 2003 and a PhD in distributed computing from KTH Royal Institute of Technology in 2006.
• Berkeley research. The same biography says he is an adjunct professor at UC Berkeley and that his research on resource management, scheduling and data caching was applied in Apache Mesos, Apache Spark and Hadoop. It says he co-created Apache Spark.
• 2013: Databricks is founded. Databricks says its founders were the original creators of Apache Spark, and also of Delta Lake, MLflow, Unity Catalog and the lakehouse architecture.
• Before 2016: engineering and product. Databricks' January 11, 2016 announcement lists his prior role as Vice President of Engineering and Product.
• January 2016: becomes CEO. Ion Stoica moved from CEO to Executive Chairman and Ghodsi was promoted to CEO in the same announcement. Stoica said Ghodsi was poised to help Databricks and Spark pursue wide enterprise adoption.

What he is known for

The public record points to three things: Spark and the open source lineage behind the company, a run of large private funding rounds, and a push into databases and agents for AI.

• Open source origins turned into a company. Databricks commercialises technology its founders created while in academia. Ghodsi's own words on taking over in 2016 were that he was honored to lead the company's mission to dramatically simplify big data processing.
• Large private rounds in 2026. A February 9, 2026 release announced about $5 billion in equity at a $134 billion valuation plus about $2 billion of debt capacity. On July 16, 2026 the company announced a term sheet at $188 billion, and on August 13, 2026 it announced the round closed at $190 billion, led by Coatue.
• A bigger bet on agents and databases. In February he said new capital would go to Lakebase so developers can build operational databases for AI agents. By August, Databricks reported Lakebase above $100 million in run-rate.
• Demand he did not plan for. TechCrunch reported on August 13, 2026 that Databricks first aimed to raise $1 billion, and that Ghodsi said investors had expressed $15 billion of interest.

Leadership style and philosophy

This section draws only on what Ghodsi has said himself, as published by the outlets named.

• A fair price over a peak price. In a Fortune interview on December 17, 2025, he said Databricks could have sought a higher valuation by going public earlier but chose one it could grow into, to avoid a sharp decline later.
• Keep investing through a downturn. In the same interview he said he wants to avoid being forced into cost-cutting during a market correction, so the company can keep investing in long-term opportunities.
• Candid about froth. He called AI companies with huge valuations and almost no revenue "obviously a bubble" in that interview, while saying he believes AI coding tools are durable.
• Public listing as a when, not an if. He said an IPO is not an "if" but a "when", while cautioning against counting on 2026.
• Value over volume. In the July 16, 2026 announcement he said enterprises are moving from tokenmaxxing to valuemaxxing.

Key numbers about Databricks (company-reported)

All figures are Databricks' own, from press releases on the dates shown.

• Revenue run-rate, August 13, 2026Above $7 billion, with over 80% year-over-year growth in its second quarter.
• Funding round, August 13, 2026$5 billion at a $190 billion valuation, led by Coatue.
• Lakehouse (data warehousing), August 13, 2026Above $1.5 billion run-rate, growing over 100% year over year.
• Large customers, August 13, 2026More than 1,000 above $1 million run-rate and more than 100 above $10 million.
• Organizations served, August 13, 2026More than 20,000, including about 70% of the Fortune 500; 30+ offices worldwide.
• Earlier snapshot, February 9, 2026Run-rate above $5.4 billion, up more than 65%; net retention above 140%.

What to watch next

Worth tracking: whether Lakebase and the AI products keep growing at the rates Databricks reported, how the company uses the new capital on research and acquisitions TechCrunch named (Electric and Panther), and any IPO timing Ghodsi gives.

Questions people ask

Sources

• Databricks: Leadership team · Current title (company page)
• Databricks: Founders · Co-founders and titles
• Databricks: About us · Founding year, Spark origins, mission
• Databricks: Ali Ghodsi author page · Bio, education, Berkeley, Spark
• Databricks: Changes in leadership team (January 11, 2016) · CEO appointment
• Databricks: $5.4 billion run-rate release (February 9, 2026) · Funding at $134 billion, metrics
• Databricks: $188 billion strategic round (July 16, 2026) · Term sheet, Ghodsi quote
• Databricks: $7 billion run-rate release (August 13, 2026) · $5 billion round at $190 billion, metrics
• TechCrunch: Databricks wanted to raise $1B (August 13, 2026) · Investor demand, use of funds, IPO comment
• Fortune: Ghodsi on where AI is most bubbly (December 17, 2025) · Interview statements
• Wikimedia Commons: Databricks Ali Ghodsi 26.jpg · Hero photo, CC BY-SA 4.0, by DKP415

Facts were read from the linked pages on October 31, 2026. Some pages were read through a fetch tool that returns summaries, so confirm details on the original page. Company figures are labelled company-reported and are not audited. This page covers public professional information only.

Top photo: DKP415 / CC BY-SA 4.0 via Wikimedia Commons