Senior Software Engineer (Data Transformation)

• 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

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
• 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research)
• Proficiency across multiple languages such asJava, Scala, C++, and Python, with a track record of production systems at scale
• BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
• Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
• Proficiency with AI-native software engineering and agentic development workflows
• Ability to lead complex technical projects independently with minimal direction
• Published research or thesis work in streaming, real-time query processing, or distributed computation
• Contributions to open-source data infrastructure or database systems
• Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
• Familiarity with formal verification
• 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