Senior Software Engineer, Data Transformation

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 are hiring a Senior Software Engineer for our Data Platform team. This team owns the core data transformation infrastructure that moves, processes, and delivers data at the heart of Snowflake's platform — powering everything from real-time pipelines to the large-scale batch systems our customers depend on every day.

• Design and implement scalable, high-throughput data processing systems that operate reliably at cloud scale

• Build and maintain real-time and batch data pipelines, driving both architectural evolution and day-to-day operational excellence

• Own features end-to-end — from system design and implementation through testing, deployment, and production observability

• Make architectural decisions that shape the future of Snowflake's data transformation layer and contribute to long-term technical roadmaps

• Partner cross-functionally with product, infrastructure, and data science teams to define requirements and deliver high-impact capabilities

• Write clean, well-tested, production-quality code and hold a high bar for engineering craft across the team

• Mentor junior engineers through code reviews, design discussions, and technical guidance

• 5+ years of software engineering experience with a focus on distributed systems, data infrastructure, or backend platforms (or equivalent experience)

• BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience

• Strong foundation in distributed systems principles: consistency, replication, fault tolerance, and data partitioning

• Proficiency in Java, Scala, Python, or C++ — with a track record of delivering production systems at scale

• Demonstrated experience designing and operating large-scale data systems or cloud-native platforms

• Ability to lead complex technical projects independently, with minimal direction

• Hands-on experience with Apache Flink and/or Apache Spark for stream or batch data processing

• Experience with
  Apache Kafka
  , data lakehouse architectures, or SQL engine internals

• Familiarity with AI-augmented engineering practices — using LLMs, Git Hub Copilot, or similar tools to accelerate prototyping, improve code quality, and rethink how software gets built

• Contributions to open-source data infrastructure projects