Staff Software Engineer - Snowflake Feature Store
At a glance
Senior Engineering Leadership role at Snowflake. Bellevue · full-time · $236,000–$325,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Shape the Feature Store roadmap with senior architects and machine learning leaders
- Turn new machine learning developments into a product direction, then lead its delivery
- Keep services reliable, available, and performant against their operating commitments
- Work with partner machine learning teams to improve how quickly teams build and what they can deliver
- Help teammates ship work that meets a high technical bar
What you bring
- At least ten years building data-serving infrastructure, machine learning platforms, or both
- Fluency in Java and Python
- A computer science bachelor’s degree
Who this fits
This senior role suits an engineer who has built data-serving infrastructure or machine learning platforms and can guide technical direction while supporting teammates. The position is hybrid in Bellevue, United States.
From the employer
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.
Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership
Build and execute a vision for incorporating new advances in machine learning
Ensure operational excellence of services and meet reliability, availability, and performance commitments
Collaborate across ML partner teams to improve development velocity and capabilities
Support team members in delivering high technical quality
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms.
Preferred: Strong operational experience managing PostgreSQL in production environments.
Strong track record working with machine learning systems and platforms.
Strong understanding of computer science fundamentals.
B.Sc. in Computer Science
Fluency in Java and Python
Experience with feature engineering platforms and ML platforms
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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
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