Data Platforms
Matei Zaharia
Co-founder and Chief Technology Officer, Databricks
Created Apache Spark, the engine that still powers most of the world's big-data processing.
Score 90/100
Why they’re on the list
Zaharia created Apache Spark, the processing engine underlying most enterprise big-data systems, and continues to shape Databricks' technical direction as its CTO.
Matei Zaharia is the Romanian-Canadian computer scientist who, as a doctoral student at UC Berkeley in 2009, wrote the first version of Apache Spark, the distributed processing engine that replaced Hadoop's MapReduce as the standard way large organisations analyse data at scale. He grew up in Canada after his family emigrated from Romania, studied mathematics at the University of Waterloo, and completed his PhD at Berkeley's AMPLab in 2013, where Spark was developed as a faster, more general alternative to existing big-data tools.
Zaharia co-founded Databricks in 2013 alongside Ali Ghodsi and other Spark creators to commercialise the technology, and has served as the company's chief technology officer ever since, shaping its engineering direction as it grew into one of the most valuable private software companies in the world. He has held academic appointments at MIT and Stanford and returned to UC Berkeley as an associate professor, maintaining an unusual dual career as both a working professor and the technical architect of a multi-billion-dollar enterprise platform.
Beyond Spark, Zaharia has been central to a run of widely adopted open-source data and machine-learning tools, including Delta Lake, which brought reliability and transactional guarantees to data lakes, and MLflow, one of the most widely used platforms for managing the machine-learning lifecycle. His research has repeatedly anticipated shifts in the industry, from large-scale data processing to, more recently, systems for building and evaluating large language model applications.
His contributions have been recognised with some of computing's most prestigious honours, including the ACM Doctoral Dissertation Award, a Presidential Early Career Award for Scientists and Engineers, the SIGOPS Mark Weiser Award, and the ACM Prize in Computing in 2026, an award that cited his role in reshaping how the world processes data. He has used the platform that award brought him to argue publicly that AI systems have already crossed into genuinely general capability, a claim that drew wide attention across the technology press.
As Databricks has pushed deeper into AI infrastructure, competing with rivals such as Snowflake for the same enterprise customers, Zaharia has remained the company's technical conscience, credited internally and externally with keeping its platform grounded in open standards even as it commercialises aggressively. Few individuals can claim to have created a piece of software as foundational to modern computing as Spark, which continues to underpin data infrastructure at a large share of the world's largest companies.
Career timeline
- 2009Develops the first version of Apache Spark at UC Berkeley's AMPLab
- 2013Completes PhD at Berkeley; co-founds Databricks as CTO
- 2014Receives the ACM Doctoral Dissertation Award
- 2015Joins MIT as faculty while continuing at Databricks
- 2016Becomes assistant professor at Stanford University
- 2019Awarded the Presidential Early Career Award for Scientists and Engineers
- 2026Wins the ACM Prize in Computing for contributions to data systems