Databricks is the pioneer of the data lakehouse paradigm, a modern data architecture that combines the best elements of data lakes and data warehouses. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks offers a unified analytics platform that simplifies data and AI for organizations worldwide. Their mission is to help data teams solve the world's toughest problems by enabling them to build, deploy, share, and maintain enterprise-grade data and AI solutions at scale. Key offerings include the Databricks Lakehouse Platform, which supports SQL analytics, real-time applications, data engineering, data science, and machine learning workloads on various cloud platforms.
Serves as the central hub for Databricks' global operations, including executive leadership, core engineering, product development, research, marketing, sales strategy, and administrative functions.
Modern office space located in San Francisco's vibrant SoMa (South of Market) district, designed to foster collaboration and innovation. Features open-plan work areas, advanced technology infrastructure, and amenities typical of leading tech companies.
Characterized by a fast-paced, innovative, and collaborative environment. Databricks emphasizes data-driven decision-making, customer obsession, and attracting top-tier talent in AI, big data, and cloud computing. Employees often highlight the challenging work and learning opportunities.
Strategically located in the heart of Silicon Valley, providing proximity to tech talent, venture capital, and key industry partners. The HQ is pivotal for driving the company's vision and expanding its leadership in the data and AI space.
Databricks supports its global customer base through a strategic network of offices and remote talent spanning North America, Europe, Asia-Pacific, and Latin America. Key functions distributed globally include sales and field operations, software engineering, research and development, customer success and support, marketing, and professional services. This worldwide footprint ensures comprehensive coverage and localized expertise for enterprises leveraging the Databricks Lakehouse Platform to unify their data, analytics, and AI workloads.
160 Spear Street, 13th Floor
San Francisco
California
United States
Address: Fora - 2 Stephen Street, London, W1T 1AN, United Kingdom
To serve and expand Databricks' customer base in the UK and the broader EMEA region, providing local expertise, support, and fostering community engagement.
Address: Claude Debussylaan 7, 1082 MC Amsterdam, Netherlands
Strengthening Databricks' presence and engineering capabilities in continental Europe, fostering innovation, and supporting strategic partnerships within the EU.
Address: Level 36, Governor Phillip Tower, 1 Farrer Place, Sydney, NSW 2000, Australia
To cater to the rapidly growing demand for data and AI solutions in the Asia-Pacific market, providing localized support, services, and driving regional growth.
Address: Prestige Tech Park, Jupiter Block (2A), Marathahalli Ring Road, Kadubeesanahalli, Bengaluru, Karnataka 560103, India
To serve as a critical R&D and engineering hub, supporting Databricks' global product roadmap and providing customer support for the APAC region and beyond.
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As of April 2025, Crunchbase' leadership includes:
Crunchbase has been backed by several prominent investors over the years, including:
Databricks has made several key executive appointments over the last 12 months to bolster its leadership team and support its rapid growth and innovation in the data and AI space. These hires reflect a focus on product leadership, people operations, legal expertise, and engineering.
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Databricks primarily uses the 'first.last' email format for its employees. Understanding this common pattern can be useful for professional communication and outreach.
first.last@databricks.com
Format
jane.doe@databricks.com
Example
90%
Success rate
TechCrunch • 2024-05-21
Databricks announced its acquisition of Lilac AI, a startup developing tools to help data scientists and AI engineers analyze and understand unstructured data, particularly text. This acquisition aims to enhance Databricks' capabilities in processing and extracting insights from diverse data types for AI model development....more
Databricks Blog • 2024-03-26
Databricks unveiled DBRX, a new open-source large language model (LLM) that it claims sets new state-of-the-art benchmarks among open models. DBRX is designed for enterprise use cases and is available for organizations to fine-tune and deploy....more
VentureBeat • 2024-02-28
Databricks acquired Einblick, an AI-native data science platform spun out of MIT and Brown University. The acquisition is set to integrate Einblick's natural language-powered data exploration and model-building capabilities into the Databricks Lakehouse Platform, making advanced analytics more accessible....more
Databricks Blog • 2023-10-24
Databricks announced its agreement to acquire Arcion, a company specializing in real-time data replication and ingestion from various enterprise databases and SaaS applications into the data lakehouse. This move strengthens Databricks' data ingestion capabilities, enabling customers to more easily bring data from diverse sources into the Lakehouse....more
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