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About the Role

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.

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 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.

Requirements

• 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.

Skills

• Distributed systems principles (consistency, replication, fault tolerance, data partitioning)
• Java
• Scala
• Python
• C++
• Apache Flink (stream or batch data processing)
• Apache Spark (stream or batch data processing)
• Apache Kafka
• Data lakehouse architectures
• SQL engine internals
• AI-augmented engineering practices (LLMs, GitHub Copilot)
• Contributions to open-source data infrastructure projects

Experience Level

• 5+ years of software engineering experience

Education Level

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

About the Company

• Snowflake is powering the era of the agentic enterprise, seeking AI-native thinkers across every function.
• Fosters innate curiosity, treating AI as a high-trust collaborator to solve problems and accelerate impact.
• Looks for low-ego individuals who thrive in dynamic, fast-moving environments with an experimental mindset.
• Aims to redefine the future of how work gets done.
• Growing fast and scaling the team to enable and accelerate growth.
• Seeks people who share values, challenge ordinary thinking, and push the pace of innovation.