Define and deploy architectural standards across analytics and data engineering teams
Build AI-powered tooling and workflows for analytics and data engineering
Elevate RBAC framework, including row access and masking policies at scale
Collaborate with product/engineering teams on features and specs
Represent internal data capabilities to customers with patterns and learnings
Drive cross-functional alignment and raise the technical bar

🎯 Requirements

8+ years in data engineering, analytics engineering, or data architecture
Deep Snowflake expertise: data modeling, performance, RBAC, Cortex, Dynamic Tables, Streams, Tasks
Expert-level dbt skills (dbt Core/Platform), macros, testing, CI/CD
Hands-on with Airflow or similar orchestration
Strong AI tooling proficiency: LLM workflows, agent frameworks, prompt engineering
RBAC design at scale: row access, masking, role hierarchies

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