Senior Software Engineer, Data Transformation

Responsibilities

• 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
• Partner cross-functionally with product, infrastructure, and data science teams
• Write clean, well-tested, production-quality code and mentor junior engineers

Requirements

• 5+ years of software engineering experience focused on distributed systems, data infrastructure, or backend platforms
• BS/MS/PhD in Computer Science, Engineering, or a related field
• Strong foundation in distributed systems principles including consistency, replication, fault tolerance, and data partitioning
• Proficiency in Java, Scala, Python, or C++
• Demonstrated experience designing and operating large-scale data systems or cloud-native platforms
• Ability to lead complex technical projects independently

Preferred Qualifications

• Hands-on experience with Apache Flink and/or Apache Spark
• Experience with Apache Kafka, data lakehouse architectures, or SQL engine internals
• Familiarity with AI-augmented engineering practices using LLMs or GitHub Copilot
• Contributions to open-source data infrastructure projects

About the Company

Snowflake is powering the era of the agentic enterprise, providing core data transformation infrastructure that moves, processes, and delivers data at cloud scale.