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- Strong foundation in distributed systems principles: consistency, replication, fault tolerance, and data partitioning
• BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience
• Ability to lead complex technical projects independently, with minimal direction
• 5+ years of software engineering experience with a focus on distributed systems, data infrastructure, or backend platforms (or equivalent experience)
• Demonstrated experience designing and operating large-scale data systems or cloud-native platforms
• Proficiency in Java, Scala, Python, or C++ — with a track record of delivering production systems at scale
• Contributions to open-source data infrastructure projects
• Familiarity with AI-augmented engineering practices — using LLMs, GitHub Copilot, or similar tools to accelerate prototyping, improve code quality, and rethink how software gets built
• Experience with Apache Kafka, data lakehouse architectures, or SQL engine internals
• Hands-on experience with Apache Flink and/or Apache Spark for stream or batch data processing