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Databricks corporate headquarters and office locations

Databricks is headquartered in San Francisco, CA and has 8 office locations located throughout the US. See if Databricks is hiring near you.

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  • Corporate offices
  • Corporate offices
160 Spear Street, 13th Floor San Francisco, CA 94105

Departments: Engineering, Marketing, Sales, IT, Human Resources, Other, Art/Design, Business Development, Accounting, Finance, Non Profit/Government, Customer Service, Education, Legal, Administrative, Supply Chain, Plant/Manufacturing, Construction, Corporate Management

Scottsdale, AZ
7272 E Indian School Rd Scottsdale, AZ 85251

Departments: Sales, IT, Construction, Customer Service

100 W Evelyn Ave Suite 210 Mountain View, CA 94041 USA

Departments: Marketing, Engineering, Retail, Business Development, Sales

Boston, MA
625 Massachusetts Avenue, Cambridge, MA 02139

Departments: Sales, Engineering, IT, Plant/Manufacturing, Non Profit/Government, Business Development

11 W 42nd St, New York, NY 10036

Departments: Engineering, IT, Sales, Other, Finance, Retail, Human Resources, Customer Service, Plant/Manufacturing

Plano, TX
7300 Lone Star Drive Plano, TX 75024 USA

Departments: Engineering, IT

McLean, VA
1660 International Drive Suite 600 McLean, VA 22102 USA

Departments: IT

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Zippia gives an in-depth look into the details of Databricks, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Databricks. The employee data is based on information from people who have self-reported their past or current employments at Databricks. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Databricks. The data presented on this page does not represent the view of Databricks and its employees or that of Zippia.

Databricks may also be known as or be related to Databricks, Databricks Inc. and Databricks, Inc.