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.

We're hiring Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk.

AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL:

• Design and implement low-latency stream processing and in-flight data transformation systems at global scale
• Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling)
• Build transformation primitives and operators that run reliably at cloud-scale throughput
• Contribute to architectural decisions for our next-generation streaming and transformation platform
• Write production-quality systems code and collaborate across product and engineering teams

OUR IDEAL CANDIDATE WILL HAVE:

• BS/MS/PhD in Computer Science or related field — graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator
• Deep distributed systems fundamentals: fault tolerance, consistency, state management
• Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar)
• Proficiency in Java, Scala, C++, or Python
• Familiarity with AI-native software engineering and agentic development workflows

BONUS POINTS FOR:

• Published research or thesis in streaming, real-time transformation, or distributed computation
• 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 internals: query optimization, execution plan design, storage formats, or transaction layers