Databricks

Who are Databricks's decision-makers?

Databricks is unusually founder-led for a company of its size: co-founder Ali Ghodsi is still CEO, and the other UC Berkeley creators of Apache Spark hold the CTO, Chief Architect, Executive Chair, and VP of Engineering roles. A public-company-caliber finance and revenue bench (CFO Dave Conte, CRO Ron Gabrisko, plus a COO and CMO) sits alongside them as the company tracks toward an IPO.

CEO
Ali Ghodsi (co-founder)
CTO
Matei Zaharia (co-founder, Spark creator)
CFO
Dave Conte (ex-Splunk)
Founded
2013
Employees
~10,000+ (est. 12,000–15,000)
Notable
Founded by the UC Berkeley 'Apache Spark' team
  • Ali GhodsiCo-founder & CEOCEO since 2016 (co-founder 2013)UC Berkeley adjunct professor and Spark contributor; took over as CEO from Ion Stoica and has led Databricks through its rise to a $134B valuation.
  • Ion StoicaCo-founder & Executive ChairmanSince 2013 (first CEO)UC Berkeley professor; served as Databricks' founding CEO and now chairs the board.
  • Matei ZahariaCo-founder & CTOSince 2013Original creator of Apache Spark (his Berkeley PhD) and MLflow; also a professor at UC Berkeley.
  • Reynold XinCo-founder & Chief ArchitectSince 2013Top Apache Spark committer; drives the technical architecture of the lakehouse platform.
  • Patrick WendellCo-founder & VP of EngineeringSince 2013Early Spark release manager; oversees core platform engineering.
  • Dave ConteChief Financial OfficerCFO (joined 2019)Former Splunk CFO who took that company public and scaled it past $2B in revenue; brought in to steer Databricks toward an IPO.
  • Ron GabriskoChief Revenue OfficerCROLeads global sales and field operations; owns the go-to-market engine driving 80%+ revenue growth.

Who leads Databricks?

Databricks is run by its founders. Ali Ghodsi, a UC Berkeley adjunct professor, has been CEO since 2016 (taking over from founding CEO Ion Stoica, now Executive Chairman). Matei Zaharia — who created Apache Spark for his Berkeley PhD and later MLflow — is co-founder and CTO, with Reynold Xin as Chief Architect and Patrick Wendell as VP of Engineering.

The group came out of UC Berkeley's AMPLab, where the seven founders contributed to Apache Spark before commercializing it in 2013. That academic-to-product lineage still shapes the company: Databricks both stewards open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) and sells the commercial platform built on them. Around the founders, a non-founder bench has been built for scale — CFO Dave Conte (ex-Splunk), CRO Ron Gabrisko, and a marketing organization under CMO Rick Schultz.

Who actually makes buying decisions at Databricks?

Strategy and product direction run through the founders — Ghodsi (CEO) and Zaharia/Xin (technical) set the platform agenda, while CFO Dave Conte (the former Splunk CFO who took that company public and scaled it past $2B in revenue) owns financial discipline and major spend approval. CRO Ron Gabrisko owns the revenue org and field operations.

For a vendor, the budget owner depends on the category: engineering and infrastructure tooling routes through VP/Eng leadership under Wendell; data, AI, and security tooling touches the technical founders and platform leads; and GTM, sales-tech, or marketing tools route through the revenue (Gabrisko) and marketing (Schultz) organizations. Expect a buying committee — a technical champion plus a finance/procurement gate under Conte — rather than a single decision-maker on anything material, especially with the company in IPO-readiness mode.

How is Databricks organized as it scales?

With an estimated 12,000–15,000 employees across 30+ offices, Databricks is structured around its product platform (engineering and product under the technical founders) and a global field organization (sales, solutions engineering, and customer success under the CRO). Finance under CFO Dave Conte has been built out for public-market readiness, with the company describing itself as 'IPO-ready' on board, audit, and reporting structures.

The org has expanded heavily through acquisition — Redash, MosaicML, Tabular, and Neon fold engineering teams into the platform — so newer AI and database groups (Mosaic AI, Lakebase) carry leadership and roadmaps inherited from those deals. That makes the AI and database divisions fast-moving, well-funded centers of new tooling decisions.

As of June 2026.Sources:Databricks — Leadership teamDatabricks — FoundersBigDATAwire — Databricks appoints Dave Conte as CFO

Databricks — frequently asked questions

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