Staff Data and AI Platform Engineer
Core
Technical authority for the Enterprise data platform, owning design, reliability, security, and cost efficiency of account-level infrastructure while enabling domain teams to build dbt Mesh projects safely at scale.
Role type
Staff Data and AI Platform Engineer
Builds
Enterprise data platform infrastructure (Snowflake, dbt Mesh), AI/agentic data workflows, and governance standards
Domain
Enterprise Data Engineering & AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Snowflake account/platform operations, dbt Mesh, RBAC model design, AI/agentic data architecture, MCP server infrastructure, data governance (FedRAMP, masking), advanced SQL tuning, Python scripting, AWS data services
Preferred skills
Semantic layer design, analytical agent evaluation frameworks, BI tool evaluation, orchestration/ingestion tools, SnowPro certification, SaaS business experience
Technologies
Snowflake, dbt, Airflow, Fivetran, Okta, Atlan, AWS, Python, MCP
Responsibilities
Define multi-year data platform architecture vision and roadmap; Serve as technical decision-maker for platform-wide architectural choices; Design Snowflake data architecture patterns for AI/agentic workflows; Partner with GRC and Security on FedRAMP boundary controls; Mentor data and analytics engineers; Drive operational discipline via query-tag attribution and warehouse sizing strategy
Seniority
Staff, technical authority & strategy
