Data Architect

📋 Description

• Design end-to-end data architectures in Snowflake from ingestion to semantic layer.
• Define data models balancing analyst flexibility with production performance.
• Partner with engineering to integrate data from source apps and operations.
• Establish versioned modeling standards and documentation across domains.
• Build semantic layers to unify metrics for BI tools like Tableau, Looker, and Power BI.
• Architect feature pipelines and ML data contracts for AI enablement.

🎯 Requirements

• 7+ years in data engineering with ownership of production pipelines.
• Proven success stabilizing production data platforms and pipelines.
• Strong Snowflake, Airflow, and dbt experience.
• ELT/ETL, APIs, cloud storage, and SQL performance tuning.
• Practical data reliability: observability, lineage, testing.
• Able to operate in ambiguous environments and document standards.
• Ownership of core operations with SLOs and incident response.
• Client-facing experience and strong written/verbal communication.

🎁 Benefits

• Competitive base salary with performance bonuses.
• AI and data/ML collaboration across client projects.
• Remote-friendly with growth opportunities.