Databricks
Databricks's Overview
Databricks is a data and AI company, pioneering the data lakehouse paradigm. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks provides a unified platform for data engineering, data science, machine learning, and analytics. Their mission is to simplify data and AI so data teams can solve the world's toughest problems. Millions of users worldwide, including major enterprises, rely on Databricks to unify their data, analytics, and AI workloads.
Where is Databricks's Headquarters?
HQ Function
Serves as the primary hub for Databricks' global operations, including executive leadership, product development, engineering, research, marketing, sales strategy, and corporate functions.
Notable Features:
Modern office space in a LEED-certified building, designed for collaboration with open floor plans, state-of-the-art technology infrastructure, and amenities such as wellness rooms, cafes, and event spaces. Offers panoramic city views.
Work Culture:
Characterized by a fast-paced, innovative, and highly collaborative environment. Databricks fosters a culture of ownership, learning, and customer obsession, attracting top talent in the fields of big data, distributed systems, and artificial intelligence.
HQ Significance:
Its San Francisco headquarters strategically positions Databricks within a vibrant tech ecosystem, facilitating access to talent, venture capital, industry partnerships, and a large customer base. It's central to driving the company's vision and global expansion.
Values Reflected in HQ: The headquarters' design and atmosphere aim to reflect Databricks' core values of innovation, teamwork, customer focus, and transparency, providing an environment conducive to creativity and problem-solving.
Location:
Databricks maintains a strong global presence with offices and operations across North America, Europe, Asia-Pacific, and Latin America. This extensive network enables them to support a worldwide customer base, providing localized sales, marketing, customer success, engineering, and research functions. Their global teams work collaboratively to deliver the Data Lakehouse platform and AI solutions to organizations in various industries around the world.
Street Address:
160 Spear Street, 13th Floor
City:
San Francisco
State/Province:
California
Country:
USA
Databricks's Global Presence
Amsterdam, Netherlands
Address: Piet Heinkade 133 F, 1019 GM Amsterdam, Netherlands
Key hub for driving growth, managing regional operations, and providing localized support to a diverse range of customers and partners across the EMEA market.
London, United Kingdom
Address: 155 Bishopsgate, London, EC2M 3TQ, United Kingdom
Crucial for penetrating the UKI market, fostering local partnerships, and tailoring Databricks solutions to specific industry needs within this significant European economy.
Sydney, Australia
Address: Tower One, International Towers Sydney, Level 35/100 Barangaroo Ave, Barangaroo NSW 2000, Australia
Supports Databricks' growth strategy in the APAC region, adapting to diverse market requirements and building a strong local ecosystem of customers and partners.
Bengaluru, India
Address: Prestige Sterling Square, No. 4, Madras Bank Road, Bengaluru, Karnataka 560001, India
Leverages India's vast tech talent for global product innovation and provides critical support functions, playing an integral role in Databricks' worldwide R&D and operational capabilities.
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
In the last year, Databricks has made key strategic appointments to its executive team, notably strengthening its financial and information leadership, while also seeing planned transitions. These changes support the company's continued rapid growth and innovation in the data and AI space.
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 primarily utilizes email formats based on employee names. The most common patterns are `[first].[last]@databricks.com` and `[first_initial][last]@databricks.com`. Understanding these formats can be helpful for professional communication.
[first].[last]@databricks.com or [first_initial][last]@databricks.com
Format
jane.doe@databricks.com or jdoe@databricks.com
Example
85%
Success rate
News and media
Databricks Blog • May 1, 2024
Databricks Welcomes Lilac to Databricks, Making Unstructured Data Exploration Natural and Scalable
Databricks announced the acquisition of Lilac, a company focused on enabling users to explore and analyze unstructured data. This acquisition aims to enhance Databricks' capabilities in handling diverse data types and making data exploration more intuitive for all users, particularly in AI and LLM contexts....more
Databricks Blog • March 26, 2024
Introducing DBRX: A New State-of-the-Art Open LLM by Databricks
Databricks unveiled DBRX, a new open-source large language model (LLM). DBRX is designed to be a high-performing, efficient, and general-purpose model, setting new standards for open LLMs in terms of quality and inference speed. This release underscores Databricks' commitment to open source and advancing AI capabilities....more
Databricks Blog • February 7, 2024
Announcing General Availability of AI Functions and SQL Powered by Databricks Assistant
Databricks announced the general availability of AI Functions, allowing users to easily invoke LLMs and other AI models directly within their SQL queries. This feature, powered by the Databricks Assistant, aims to democratize AI by making powerful models accessible through familiar SQL interfaces....more
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