Thomas Chang is a seasoned engineering leader with 10+ years driving high-performance database and data management platforms for enterprise-scale systems across companies like MongoDB, Google, Rubrik, and Oracle. He specializes in distributed query engines, scalable ingestion pipelines, and fault-tolerant orchestration of petabyte-scale data across data centers and clouds. At Google he led AlloyDB query processing and database performance work, and now as VP of Engineering at MongoDB he focuses on making massive real-world data more discoverable, manageable, and protected. Thomas blends deep kernel- and architecture-level expertise from long Oracle database work with product-facing operational experience from Rubrik and cloud-native performance tuning at Google. He’s pragmatic about enterprise development—seeking to simplify painful operational surfaces so teams can build reliably at scale. Based in the Bay Area with an M.Eng. in CS from Cornell, he pairs academic rigor with a track record of shipping production-critical distributed systems.
10 years of coding experience
25 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at National Central University
Master of Engineering (M.Eng.), Computer Science, Master of Engineering (M.Eng.), Computer Science at Cornell University
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Thomas Chang - Vice President Of Engineering at MongoDB