Position Details
About this role
Senior Data Architecture Lead at Snowflake drives the architectural direction for data, analytics, and AI tooling, designing scalable data platforms and RBAC policies across analytics and data engineering teams.
Key Responsibilities
- Define and deploy architectural standards across analytics and data engineering teams (dbt patterns, RBAC, deployment workflows, code quality)
- Build and deploy AI-powered tooling and agent frameworks for analytics/data teams
- Elevate RBAC framework with row access and masking policies at scale
- Partner with product/engineering on feature testing, specs, and POCs
- Represent Snowflake's data capabilities externally; mentored team
Technical Overview
Hands-on leader with Snowflake expertise and dbt skills; builds AI-powered tooling for analytics teams; RBAC at scale with row/column policies; relies on Python, Airflow, and CI/CD for data pipelines.
Ideal Candidate
The ideal candidate is a senior data architecture lead with 8+ years in data engineering/analytics engineering, deep Snowflake expertise, and hands-on experience with dbt, Airflow, Python, and RBAC at scale.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years experience in data architecture/engineering, Lack of Snowflake/dbt experience, No experience with RBAC at scale
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile