Ali Ghodsi
Co-Founder & Chief Executive Officer
Executive
10 reports
Databricks
Databricks leadership reflects founder-led, research-driven scaling
Technology · Hybrid structure · 7K employees · San Francisco, CA
9
CEO span
↑ wider than peers (avg 8)
3
Avg span
moderate
3
Max depth
3 levels
0 yr
Avg tenure
0%
Internal hires
↓ below industry avg
Interactive org chart
Databricks organizational chart
Explore the leadership model, functional ownership, and scale-up reporting pattern behind this company.
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Databricks is a leading private data and AI infrastructure company built by the creators of Apache Spark, serving large enterprises globally with lakehouse and AI platforms. The org chart reflects founder control and enterprise scaling.
What to model
Use the chart to test org decisions, not just view reporting lines
Start with the public baseline, then use the scenario views and source-backed changes to ask what happens when leadership, span, or team ownership shifts.
Scenario views in the chart
- Add COO Introduce a Chief Operating Officer to absorb scaling complexity across operations and execution.
- Split Product & Engineering Formally separate product leadership from engineering to support multi-product scaling.
Atlas work this supports
- Compare scale-up operating models Benchmark founder span, product-engineering structure, GTM leadership, and platform teams against other high-growth companies.
- Model your next leadership layer Plan when to add operators, split product and engineering, regionalize GTM, or create new platform and AI leadership roles.
- Turn public signals into a planning map Use official leadership pages and announcements as a baseline, then adapt the model for your own hiring and scenario plans.
The people
Who's running this
9 public leadership roles from company pages, announcements, and reliable news signals. Use this as a current operating-model reference, not an SEC filing table.
Ion Stoica
Co-Founder & Executive Chairman
Board / Executive
0 reports
Matei Zaharia
Co-Founder & Chief Technologist
Technology
1 reports
Reynold Xin
Co-Founder & Chief Architect
Technology
0 reports
Dave Conte
Chief Financial Officer
Finance
0 reports
Ron Gabrisko
Chief Revenue Officer
GTM
1 reports
Rick Schultz
Chief Marketing Officer
Marketing
0 reports
Open Role
Chief People Officer
People
0 reports
Open Role
Head of Product
Product
0 reports
The businesses
How Databricks divides the work
3 divisions report into the group CEO. Tile size scales with estimated headcount.
Engineering
2K employees
p_cto
Core platform, infrastructure, and AI engineering.
Go-To-Market
2K employees
p_cro
Sales, marketing, and customer success for enterprise clients.
Operations
2K employees
p_cfo
Finance, people, and internal operations.
The thesis
Why this org is unusual
Databricks maintains a founder-led hybrid structure where the CEO and co-founders retain deep influence over product, research, and platform architecture.
Technical leadership (Chief Technologist and Chief Architect) sits close to the CEO, reinforcing Databricks’ origins in Apache Spark and its ongoing research-to-product pipeline. GTM functions are centralized under a CRO, reflecting enterprise maturity, while several operational roles appear designed to scale with global growth. The shape suggests continued emphasis on innovation velocity while professionalizing revenue and operations.
- Founder-heavy technical leadership
- Centralized GTM under CRO
- Research architecture close to CEO
The comparison
How Databricks stacks up
Compared with Snowflake, OpenAI, and Confluent, Databricks shows stronger ongoing founder involvement in core technical roles. Its hybrid model blends research-centric leadership (similar to OpenAI) with enterprise GTM maturity closer to Snowflake.
Current signals
What changed recently
No confirmed executive changes in the current quarter based on available public sources.
Frequently Asked Questions
Who leads Databricks?
Databricks is led by co-founder and CEO Ali Ghodsi, with strong involvement from its technical co-founders.
What does Databricks do?
Databricks provides a unified data and AI platform built on the lakehouse architecture, used by enterprises to manage analytics and machine learning.
What type of organizational structure does Databricks use?
Databricks uses a hybrid structure combining founder-led technical leadership with functional enterprise teams.
Who reports directly to Databricks' CEO?
Key reports include the Chief Technologist, Chief Architect, CFO, CRO, CMO, and other senior functional leaders.
How can this org chart be used for scaling planning?
The chart highlights where Databricks may add operational depth, such as a COO or expanded regional GTM leadership, as it continues global expansion.
Sources
Reference
Cite this page
If you reference this page in research, analysis, or news writing, use one of the formats below. Citation includes the SEC filing source where applicable.
APA 7th
Creately. (2026). Databricks organizational structure. Creately. Retrieved , from https://creately.com/org-chart/major-startups/databricks/MLA 9th
"Databricks Organizational Structure." Creately, April 1, 2026, https://creately.com/org-chart/major-startups/databricks/. Accessed .Chicago 17
Creately. "Databricks Organizational Structure." Last modified April 1, 2026. https://creately.com/org-chart/major-startups/databricks/.Permanent URL: https://creately.com/org-chart/major-startups/databricks/ · last updated 2026-04-01