Databricks Company Intelligence
With origins in both academia and the open-source community, Databricks has always been devoted to simplifying data, sharing knowledge and pursuing truths. Founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks brings together data engineering, science and analytics on an open, unified platform so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. See real world examples. Venture-backed and headquartered in San Francisco (with offices on four continents) and hundreds of global partners, including Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton, Databricks is on a mission to help data teams solve the world’s toughest problems.
Website: https://databricks.com/
AI Analysis
Databricks is a global leader in the data and AI space, founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. Headquartered in San Francisco, the company offers a unified data lakehouse platform that brings together data engineering, data science, machine learning, and business analytics. Databricks serves over 10,000 organisations worldwide including Shell, Conde Nast, and major financial institutions. The company has become a dominant force in the modern data stack, combining open-source innovation with enterprise-grade tooling. Databricks has raised billions in venture funding and is widely considered a prime IPO candidate. It partners closely with Microsoft (Azure Databricks), AWS, and Google Cloud, making it a central platform in cloud-native data architectures globally.
Industry: Data & AI Platform
Tech Stack: Apache Spark, Delta Lake, MLflow, Python, Scala, SQL, Kubernetes, Azure, AWS, GCP
Hiring Trend: Growing
Interview Style: Rigorous multi-round process including coding challenges (LeetCode-style), system design for distributed data systems, and behavioural interviews. Typically 4-6 rounds for engineering roles.
Culture Highlights: Strong open-source culture and community contribution, High engineering bar with talented colleagues, Mission-driven around democratising data and AI, Fast-paced, high-growth environment
Interview Prep
1 interview processes, 0 interview experiences, and 26 interview questions
Software Engineer - 4 interview rounds
Open Roles
Databricks currently has 1 open roles
