Job Description
📋 Description Define and drive the technical direction for Snowflake's core data engineering and streaming Lead multi-quarter investments in performance, scalability, correctness, and reliability Partner with product, research, and engineering teams to design clean primitives Operate as a force multiplier: architectural reviews and high-quality mentorship Engage with customers/field teams to prioritize real-world usage signals Contribute to Snowflake's technical reputation through design influence and research 🎯 Requirements 15+ years designing, building, and operating large-scale distributed data systems Deep expertise in stream processing, declarative query execution, pipeline orchestration, or data Strong CS fundamentals — distributed systems, algorithms, fault tolerance, consistency models Proficiency in C++ or Java; systems-level reasoning on latency, throughput, and resource efficiency Proven ability to lead cross-team technical initiatives from architecture to production at petabyte Excellent written and verbal communication for engineering, product, and leadership audiences
