Software Engineer Manager, Data Processing

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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.

Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.

Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms.

THE TEAM

We are hiring an Engineering Manager to lead our Data Processing team in Zurich. You will start with a pizza sized team with the goal to grow further.

The team owns the core engine that makes Observe work. That includes the systems that compiles our query language OPAL into SQL, the query execution pipeline that executes user queries, the scheduler which autoscales warehouses and packs workloads for high utilization and low query latencies, and our incremental view maintenance. Building features in these systems while keeping the system healthy, cost-efficient, and resilient at petabyte scale is a constant challenge. The team sits at the heart of Observe's differentiation: a full observability platform built entirely on Snowflake.