Workplace
On-site
Employment
Full-Time
Published
Jul 17, 2026
Closes
No date supplied
The role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE ROLE We are hiring a Senior Software Engineer for our Data Platform team - the team that owns the core streaming execution and database internals powering Snowflake's platform. You'll work deep in the stack: stream processing runtimes, query execution engines, storage layers, and the distributed systems primitive that everything else is built on. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: - Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution - Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale - Own features and systems end-to-end: design, implementation, testing, deployment, and production observability - Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers - Mentor engineers through design reviews, code reviews, and technical guidance - Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities OUR IDEAL CANDIDATE WILL HAVE: - 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure,
Requirements
Department: Engineering; Team: Engineering