Databricks is a data and AI company, recognized as one of the pioneers of the lakehouse architecture. Their platform unifies data warehousing and data lakes to provide a single, collaborative environment for data engineering, machine learning, and business analytics. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks aims to simplify data and AI, enabling organizations to innovate faster and solve complex challenges by leveraging their data assets effectively.
The San Francisco headquarters serves as the central nerve center for Databricks, housing executive leadership, core product development, engineering, global marketing, sales strategy, and corporate operations.
Located in a modern high-rise building in the SoMa (South of Market) district, offering panoramic city views. The office space is designed with open floor plans to foster collaboration, state-of-the-art technology infrastructure, and amenities typical of leading tech companies.
Databricks fosters a fast-paced, innovative, and highly collaborative work culture. Employees often describe it as intellectually stimulating, with a strong emphasis on problem-solving, ownership, and customer obsession. The culture encourages learning and development, with many opportunities to work on cutting-edge AI and big data technologies.
Its San Francisco location provides Databricks with direct access to a rich talent pool from leading universities and other tech companies, proximity to venture capital, and opportunities for strategic partnerships within the Silicon Valley ecosystem.
Databricks maintains a significant global presence with offices and operations spanning North America, Europe, Asia-Pacific, and Latin America. This international footprint enables them to support a diverse global customer base across various industries. Functions supported globally include sales, customer success, technical support, engineering, research and development, marketing, and professional services, ensuring localized expertise and responsiveness to regional market needs.
160 Spear Street, 13th Floor
San Francisco
CA
USA
Address: Spaces Zuidas, Barbara Strozzilaan 101-201, 1083 HN Amsterdam
To expand Databricks' market share in Europe, provide localized support and services, and tap into the diverse tech talent pool available in Amsterdam and surrounding regions.
Address: The Zig Zag Building, 70 Victoria St, London SW1E 6SQ
To strengthen Databricks' presence in the UK, foster relationships with key enterprise clients and partners, and drive adoption of the Lakehouse platform in one of Europe's largest tech markets.
Address: Level 12, 1 Margaret Street, Sydney, NSW 2000
To cater to the growing demand for data analytics and AI capabilities in Australia and New Zealand, build a strong local team, and support regional customer innovation.
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As of April 2025, Databricks' leadership includes:
Databricks has been backed by several prominent investors over the years, including:
Databricks has actively strengthened its executive team over the past year with key hires aimed at scaling global operations and driving product innovation, alongside some notable leadership transitions.
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Databricks primarily utilizes the [first].[last]@databricks.com email format for its employees. This is a common convention in many tech companies, making it relatively predictable for communication purposes.
[first].[last]@databricks.com
Format
john.doe@databricks.com
Example
90%
Success rate
Databricks Blog • May 21, 2024
Databricks announced the appointment of Marc Waterman as its new Chief Financial Officer. Waterman brings extensive experience from technology and software companies, poised to guide Databricks through its next phase of growth....more
Databricks Blog • March 26, 2024
Databricks unveiled DBRX, a groundbreaking open, general-purpose large language model (LLM). DBRX sets new standards for performance and efficiency among open models, empowering enterprises to build and deploy custom generative AI applications....more
Databricks Blog • February 7, 2024
Databricks announced its acquisition of Einblick, an AI-native data science platform. This acquisition aims to enhance the Databricks Lakehouse Platform by enabling users to interact with data and build data science workflows using natural language....more
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