Stephen Dotz is a data engineering manager and seasoned software leader with 11 years of experience building cloud-native, high-throughput data platforms and backend systems. He has led cross-functional teams at Coinbase, Forbes, and The New York Times, architecting experimentation platforms, clickstream analytics, and publishing pipelines using Go, Kafka, Snowflake/BigQuery, gRPC/protobuf, Kubernetes, and Airflow. Stephen combines hands-on engineering with people leadership—scaling teams, driving cost optimizations for distributed systems, and shipping client libraries and UIs that enable data-driven product decisions. He is comfortable across stacks, from front-end and iOS work to complex streaming and data warehouse pipelines, and often brings pragmatic infrastructure choices to production. Based in Philadelphia, he pairs a BS in Management Information Systems with a track record of launching first-party data stores and experimentation tooling at enterprise scale. An uncommon strength is his blend of deep systems engineering and product-focused experimentation experience, enabling teams to move fast without sacrificing data quality.
11 years of coding experience
14 years of employment as a software developer
BS Management Information Systems, BS Management Information Systems at Rowan University
Contributions:28 commits, 1 PR, 20 pushes in 1 year 6 months
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