Work Experience
Databricks
CTO & Cofounder
Responsibilities
Databricks is the Data + AI platform for thousands of enterprises worldwide.
Platform
Resources
Pricing
CTO and Co-founder / Databricks / Associate Professor of Computer Science / UC Berkeley
Matei Zaharia is the CTO and Co-founder of Databricks, a leading Data + AI platform, and an Associate Professor of Computer Science at UC Berkeley. He is the creator of the widely used Apache Spark computing engine, which he started during his PhD. Zaharia has also contributed to other major open-source data and AI software, including Delta Lake, MLflow, DBRX, and DSPy.
CTO & Cofounder
Databricks is the Data + AI platform for thousands of enterprises worldwide.
Associate Professor of Computer Science
Associate Professor of Computer Science
VP, Apache Spark
VP, Apache Spark
Hadoop Committer
Hadoop Committer
Associate Professor of Computer Science
Associate Professor of Computer Science
Assistant Professor of Computer Science
Assistant Professor of Computer Science
Assistant Professor of Computer Science
Assistant Professor of Computer Science
Computer Science PhD Student
Computer Science PhD student in operating systems and networking, in the AMP Lab.
Software Engineer Intern
Software Engineer Intern
Software Engineer Intern
Software engineer intern on the open source team.
Research Assistant
Peer-to-peer search algorithms, opportunistic wireless communication, and low-cost rural Internet access.
PhD
PhD - Computer Science
Bachelor of Mathematics
Bachelor of Mathematics - Honours Computer Science
CTO and Co-founder of Databricks
Associate Professor of Computer Science at UC Berkeley
Creator of Apache Spark
Distributed Systems, Machine Learning, Databases, Security
Matei Zaharia is a leading figure in distributed systems and AI, known for creating Apache Spark and co-founding Databricks. His work spans large-scale data processing, machine learning, and building reliable LLM applications.
Apache Spark
Delta Lake
MLflow
DBRX
Dolly
DSPy
MegaBlocks
ColBERT
Distributed Systems
Machine Learning
Big Data
Cloud Computing
Scalability
Algorithms
UC Berkeley
Stanford University
MIT
University of Waterloo