Job Overview
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, or database internals (or equivalent, including research)
- BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
- Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
- Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
- Proficiency across multiple languages such asJava, Scala, C++, and Python, with a track record of production systems at scale
- Proficiency with AI-native software engineering and agentic development workflows
Ability to lead complex technical projects independently with minimal direction
BONUS POINTS FOR: • Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar.
- Experience with SQL engine inte