Senior Business Intelligence Data Architect

📋 Description Define and govern enterprise analytical architecture standards across layers using Snowflake and dbt. Establish standards for model grain, naming, ownership metadata, lineage, and docs. Lead design reviews for new modeling initiatives and platform changes. Partner with Data Engineering to align ingestion patterns with analytics needs. Lead design and implementation of semantic models and enterprise metrics. Enforce scalable analytics engineering standards for dbt, CI/CD, and deployment. 🎯 Requirements 8+ years in data engineering, analytics engineering, or data architecture with senior ownership. Deep Snowflake expertise: virtual warehouses, RBAC, materialization, performance. Expert-level dbt practitioner with staging, macros, incremental, tests; cert preferred. Production semantic layers delivering governed metrics across BI and AI analytics. Advanced SQL and Python; experience with dbt Cloud, Fivetran, Git/CI-CD. Design secure access patterns for Snowflake data (APIs, RBAC) and governance. 🎁 Benefits Interesting work with challenging data problems and top brands. Tribe vibe with no-hierarchy culture and strong values. Bragging rights: work with prestigious brands across industries. One Team One Dream culture with transparent leadership updates. Distributed team with social events and volunteering opportunities. Privacy policy and candidate resources available.