Snowflake

Engineering Manager, Data Engineering Experience

US-WA-Bellevue

Sponsorship not specifiedDetected 22 hours ago

TypeScriptReactFull-Stack DevelopmentGitSnowflakeDatabricksSparkAirflowdbtData EngineeringMentoring

About the role

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.
At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

dbt, Airflow, Spark, or similar experience with Data Engineering frameworks/tools
A track record of leading technical teams, plus experience with modern IDEs, distributed build systems, and cloud-based dev environments.

Pipeline Observability UIs - the in-product monitoring surfaces for deployed pipeline objects in Snowflake
DCM (Database Change Management, Public Preview) - declarative, git-integrated infrastructure-as-code for Snowflake objects.

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Authoring is the front door. Everything a data engineer does on Snowflake starts on one of our surfaces - so the experience here directly drives DE adoption and consumption.
Agentic authoring is our FY27 big bet. Natural-language pipeline authoring in our products is a leapfrog opportunity over the competition and we demoed a lot of this at Summit
A four-year roadmap is ready to converge into one, cohesive product. Workspaces, DCM, Cortex Code, Pipeline Builder, and their underlying primitives are coming together into one coherent authoring story, and this role is stitching them together.

This listing is sourced directly from Snowflake's careers page and normalized into a canonical job model.