Tech Stack
Responsibilities
- Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud.
- Provide hands-on technical leadership in Enterprise Data Platforms, Enabling a Data Driven Organizational Culture, AI/ML.
- Advise C‑level executives (e.g. CTO, CDO, VP Engineering) on strategic architecture decisions and investment choices.
- Design and review modern AI/ML architectures on Snowflake, including data platforms, pipelines, and production applications.
- Mentor and develop a world‑class enterprise architecture practice across the broader solution engineering organizations.
Culture
Impact-OrientedInnovationCross-Functional CollaborationFast-PacedContinuous Learning
Requirements
Required: Bachelor’s degree in Computer Science, Engineering, or related field
Preferred: MS/PhD preferred
Regions: Us
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About Snowflake
Industry: data warehousing
Size: enterprise
Snowflake is a data warehousing company powering the era of the agentic enterprise and empowering enterprises to achieve their full potential through impact, innovation, and collaboration.
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