Solutions Architect, Observe

About this role

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.

Snowflake's Observe business unit delivers AI-powered observability at enterprise scale, unifying logs, metrics, and traces across petabytes of telemetry data into a single, trusted, Snowflake-native platform. As organizations shift from reactive monitoring to proactive, automated troubleshooting, the implementation experience becomes a critical driver of product value.

Solutions Architects are the architectural foundation of the Observe post-sales practice. They bring deep platform and observability domain expertise to design durable, scalable architectures, ensuring every enterprise implementation starts with a sound technical foundation that Implementation Engineers (IEs) execute with confidence and customers build on for years. By owning the architecture layer, and establishing shared standards that demonstrate what great looks like, Solutions Architects multiply the effectiveness of the entire go-to-market team.

This role is ideal for a technically exceptional practitioner who has moved beyond execution into architecture. Someone who can assess a complex enterprise environment, design an observability system built to scale, document it with precision, and hand it off with confidence.

WHAT YOU'LL DO:

• Take an active role in technical discovery on SA-attached engagements, working in tandem with the Implementation Engineer to assess existing telemetry, infrastructure, data volumes, tooling landscape, and operational requirements