Databricks
Databricks's Overview
Databricks is a data and AI company, founded by the original creators of Apache Spark™, Delta Lake, and MLflow. It provides a unified analytics platform that accelerates innovation by unifying data science, engineering, and business. Databricks' Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance, and performance of data warehouses with the openness, flexibility, and machine learning support of data lakes. Thousands of organizations worldwide — including Comcast, Condé Nast, Nationwide, and H&M — rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning, and business analytics.
Where is Databricks's Headquarters?
HQ Function
Serves as the central hub for global operations, strategic decision-making, product development leadership, marketing, and corporate functions.
Notable Features:
Modern office space in a prominent downtown San Francisco high-rise, designed to foster collaboration and innovation. Features open workspaces, state-of-the-art technology infrastructure, and amenities typical of leading tech companies.
Work Culture:
Databricks fosters a fast-paced, innovative, and highly collaborative work culture. Employees are encouraged to 'Be an Owner,' experiment, and contribute to cutting-edge data and AI solutions. The environment is known for being intellectually stimulating, with a strong emphasis on customer success and technical excellence.
HQ Significance:
Strategically located in the heart of the Bay Area/Silicon Valley, providing access to top tech talent, venture capital, and a vibrant ecosystem of technology partners, startups, and enterprise customers.
Values Reflected in HQ: The headquarters' design, location, and dynamic environment reflect Databricks' core values of innovation, collaboration, customer obsession ('Customer First'), ownership, and attracting world-class talent.
Location:
Databricks supports its global customer base through a robust network of offices and remote teams strategically located across North America, Europe, Asia-Pacific, and Latin America. Key functions supported globally include sales and field operations, customer success and support, engineering and product development, research, marketing, and general administrative services. This distributed presence ensures comprehensive coverage, localized expertise, and timely support for enterprises leveraging its Lakehouse platform worldwide.
Street Address:
160 Spear Street, 13th Floor
City:
San Francisco
State/Province:
CA
Country:
USA
Databricks's Global Presence
Amsterdam, Netherlands
Address: Singel 258, 1016 AB Amsterdam, Netherlands
Focuses on expanding market share in the diverse EMEA region, providing localized support, fostering partnerships, and tailoring solutions to meet the specific needs of European businesses and comply with data regulations like GDPR.
London, United Kingdom
Address: The White Chapel Building, 10 Whitechapel High St, London E1 8QS, United Kingdom
Drives growth and innovation within the UK market, one of the largest technology markets in Europe. Focuses on strategic enterprise accounts, local partnerships, and community engagement.
Bengaluru, India
Address: Prestige Sterling Square, 4, Madras Bank Rd, Sampangi Rama Nagara, Bengaluru, Karnataka 560001, India
Leverages India's vast tech talent pool for core product innovation and provides localized support and services to a rapidly growing customer base in the region.
Sydney, Australia
Address: Level 31, 1 O'Connell Street, Sydney, NSW 2000, Australia
Expands Databricks' footprint in the ANZ market, addressing unique regional demands and supporting digital transformation initiatives for local enterprises.
Buying Intent Signals for Databricks
Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Executive Team of Databricks
As of April 2025, Databricks' leadership includes:
Investors of Databricks
Databricks has been backed by several prominent investors over the years, including:
Executive New Hires/Exits in the Last 12 Months
Databricks has strategically bolstered its executive leadership over the past year, focusing on key areas like finance, people operations, and legal to support its rapid scaling and market expansion. These appointments reflect a commitment to strengthening operational excellence and navigating continued high growth in the competitive data and AI landscape.
Departures
New Appointments:
Technology (Tech Stack) used by Databricks
Discover the tools Databricks uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.
Databricks Email Formats and Examples
Databricks commonly uses a few standard email formats for its employees. The most frequently observed pattern is 'firstname.lastname@databricks.com'. An alternative, though less common, might be 'firstinitiallastname@databricks.com'. These formats are typical for technology companies and are designed for ease of communication.
firstname.lastname@databricks.com or f[last]@databricks.com
Format
jane.doe@databricks.com
Example
90%
Success rate
News and media
TechCrunch • May 21, 2024
Databricks acquires Lilac to supercharge unstructured data analysis on its lakehouse
Databricks announced its acquisition of Lilac, a startup focused on making it easier for AI developers to explore and analyze unstructured data. The deal aims to enhance Databricks' platform capabilities for building AI applications, particularly with complex data types like text and images....more
Databricks Blog • March 27, 2024
Introducing DBRX: A New State-of-the-Art Open LLM by Databricks
Databricks unveiled DBRX, a new open, general-purpose large language model (LLM). DBRX is claimed to outperform other established open-source models on standard benchmarks and is designed to enable enterprises to efficiently build and deploy custom generative AI applications on the Databricks platform....more
VentureBeat • February 7, 2024
Databricks scoops up Einblick to bring natural language data processing to its platform
Databricks acquired Einblick, an AI-native data notebook company. The acquisition is aimed at integrating Einblick's technology to allow users to interact with data using natural language, thereby simplifying data analysis and making data insights more accessible to a broader range of users on the Databricks platform....more
Reuters • September 12, 2023
Databricks valued at $43 bln after new funding round
Databricks announced it raised over $500 million in a Series I funding round led by T. Rowe Price, valuing the company at $43 billion. This funding aims to accelerate its development of AI technologies and expand its market reach....more
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