Databricks
Databricks's Overview
Databricks is a data and AI company, pioneering the data lakehouse paradigm. Their unified platform allows organizations to manage all their data, analytics, and AI workloads in one place. Databricks enables data engineering, data science, machine learning, and business analytics at scale, helping enterprises innovate faster and solve complex challenges with data-driven insights. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks is committed to open source and driving the future of data and artificial intelligence.
Where is Databricks's Headquarters?
HQ Function
Serves as the global corporate headquarters, housing key leadership, engineering, product development, marketing, and administrative functions. It's the central hub for strategic decision-making and global operations.
Notable Features:
Modern office space in a prominent San Francisco building, designed to foster collaboration and innovation. Features state-of-the-art amenities typical of leading tech companies, including open workspaces, meeting rooms with advanced technology, and employee wellness facilities.
Work Culture:
Databricks fosters a fast-paced, innovative, and collaborative work environment. The culture emphasizes problem-solving, continuous learning, and a strong focus on customer success and impact. Employees are encouraged to take ownership and contribute to the company's mission of simplifying data and AI.
HQ Significance:
The San Francisco headquarters is strategically located in a major global tech hub, facilitating access to talent, venture capital, and industry partnerships. It represents the core of Databricks's identity and its ambitious growth in the data and AI landscape.
Values Reflected in HQ: The headquarters' design and atmosphere reflect Databricks's core values such as innovation, collaboration, customer obsession, and transparency. It's a space built to empower employees and drive the development of cutting-edge data and AI solutions.
Location:
Databricks operates globally with a significant presence across North America, Europe, Asia-Pacific, and Latin America. Their functions supported globally include sales and marketing operations tailored to local markets, customer success and support teams providing regional assistance, engineering and R&D centers driving innovation from multiple continents, and strategic partnerships to expand their ecosystem worldwide. This widespread presence allows Databricks to serve a diverse international client base and adapt its offerings to regional needs.
Street Address:
160 Spear Street, 13th Floor
City:
San Francisco
State/Province:
California
Country:
USA
Databricks's Global Presence
Amsterdam, Netherlands
Address: Databricks Netherlands B.V., Basisweg 10, 1043 AP Amsterdam
To expand Databricks's market presence in EMEA, provide localized support and services, and tap into the European tech talent pool for product development and innovation.
London, United Kingdom
Address: 100 Bishopsgate, London, EC2N 4AG, UK
To cater to the strong demand in the UK financial services, retail, and public sectors, and to serve as a strategic base for further European expansion.
Sydney, Australia
Address: Databricks Australia Pty Ltd, Level 25, Tower 3, International Towers, 300 Barangaroo Avenue, Sydney, NSW 2000
To establish and grow Databricks's footprint in the APAC market, addressing the specific data challenges and opportunities in the region, and building a strong local team.
Bengaluru, India
Address: Ground floor, Challenger Building, International Tech Park Bangalore (ITPB), Whitefield Road, Bengaluru, Karnataka 560066, India
To accelerate product innovation, provide global technical support, and expand Databricks's engineering capabilities to serve its worldwide customer base.
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 made several key executive appointments in the past year to strengthen its leadership team, particularly in finance and marketing, supporting its rapid growth and market expansion. No major high-profile C-level departures have been widely publicized in this period.
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 primarily uses the firstname.lastname@databricks.com email format. This is a common pattern for corporate communications and reaching out to employees. Variations may exist but this is the most widely observed.
first.last@databricks.com
Format
john.doe@databricks.com
Example
90%
Success rate
News and media
TechCrunch • May 23, 2024
Databricks acquires Lilac, a startup building tools for unstructured data
Databricks announced its acquisition of Lilac AI, a company developing tools to help enterprises analyze and productionize large language models (LLMs) on unstructured data. The acquisition aims to enhance Databricks' capabilities in managing and deriving insights from all data types within its lakehouse platform....more
Databricks Blog • March 27, 2024
Databricks Introduces DBRX: A New State-of-the-Art Open LLM
Databricks launched DBRX, an open-source, general-purpose large language model (LLM) that it claims outperforms other established open models on standard benchmarks. DBRX is designed to enable enterprises to build and customize their own high-performing LLMs cost-effectively....more
NVIDIA Newsroom • March 18, 2024
Databricks and NVIDIA Team to Optimize Data and AI Workloads, Supercharging Enterprise Generative AI
Databricks announced a deepened partnership with NVIDIA to optimize its platform for NVIDIA GPUs, aiming to accelerate data processing and AI model training for enterprises. This collaboration will integrate NVIDIA's full stack of AI software into Databricks, making it easier for customers to build and deploy generative AI applications....more
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