Principal Architect, Snowflake

• 8+ years of experience in data engineering, analytics engineering, or data architecture roles
• Deep expertise in Snowflake, including advanced data modeling, performance optimization, RBAC design and the broader Snowflake feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
• Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
• Hands-on experience with Airflow or similar orchestration platforms for data pipeline management
• Strong proficiency with AI development tools, including experience with LLM-powered workflows, agent frameworks (e.g., Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases
• Experience designing and implementing RBAC frameworks at scale — including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
• Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
• Ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams

Desirable

• We are looking for a Principal Architect, Data Foundations to join our Data, Analytics, and AI organization
• This is a senior individual contributor role with principal-level scope. You will set the technical direction for how our data and analytics engineering teams build, govern, and evolve the data platform — and you'll be a hands-on practitioner who shapes what's possible
• Define and deploy architectural standards across analytics and data engineering teams, covering data modeling patterns in dbt, RBAC frameworks, deployment workflows, and code quality standards
• Build and deploy AI-powered tooling and skills — including agent frameworks, prompt-driven workflows, and LLM-enabled automation — for use across analytics and data engineering teams
• Elevate the RBAC framework for the data platform, including designing and implementing row access policies, column masking policies, and role-based access control patterns at scale in Snowflake
• Partner with Snowflake's product and engineering teams on feature testing and feedback — write meaningful product specifications, develop proof-of-concepts, and help push the Snowflake platform forward
• Represent Snowflake's internal data capabilities externally, meeting with customers to demonstrate what is possible on the platform and sharing real-world architectural patterns and learnings
• Act as a strategic lever across teams — bridging data engineering and analytics engineering to drive alignment, reduce redundancy, and raise the technical bar organization-wide
• Enable the team through documentation, knowledge sharing, and mentorship — setting standards that scale beyond your own direct contributions