Snowflake
Snowflake is seeking a Technical Architect for AI/ML to design and deploy data science solutions within the Snowflake ecosystem. This role involves building ML pipelines, creating proofs of concept using SQL and Python, and collaborating with customers and system integrators to resolve technical challenges. The position requires deep expertise in cloud platforms, MLOps, and large language models to redefine how data science workloads are delivered.
Headquarters
St. Cloud, Minnesota, United States
Company Size
5001-10000 employees
Founded
2012
Snowflake is a data cloud platform that powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud. It eliminates data silos by enabling unified data storage, secure data sharing, and governance across cloud environments, empowering collaboration and the creation of AI-powered data apps. The platform delivers high performance, security, and scalability to accelerate data-driven innovation and insights across the enterprise. Snowflake supports a broad ecosystem of partners and tools, helping organizations mobilize data, apps, and AI at scale.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Snowflake.
Snowflake didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role