Sr. Business Intelligence Data Architect

📋 Description

• Establish scalable, reusable modeling frameworks across Snowflake and dbt
• Lead the implementation of governed semantic models and data governance standards
• Define enterprise modeling standards across staging, intermediate, dimensional, fact, semantic, and
• Design and implement reusable business entities, semantic models, and enterprise metrics
• Set standards for dbt development, testing, Git workflows, CI/CD, deployment reliability, model
• Design governed access patterns for applications, AI agents, and self-service tools consuming

🎯 Requirements

• 8-12 years of experience in data engineering, analytics engineering, or data architecture
• Deep, hands-on expertise in Snowflake architecture, including virtual warehouse design, RBAC
• Expert-level experience with dbt, including staging/intermediate/mart conventions, Jinja macros
• Strong understanding of dimensional and semantic modeling, with the ability to select and justify
• Proven experience designing and deploying production semantic layers and governed metrics across BI
• Advanced SQL skills and experience with Python, along with familiarity with dbt Cloud, Fivetran

🎁 Benefits

• Interesting Work
• Tribe Vibe
• Bragging Rights
• One Team One Dream