Director Data Engineering
About the role
The Talent Source is partnering with a rapidly growing, private equity-backed national services organization to identify a Director of Data Engineering who can build the data foundation for its next phase of growth. This is not a traditional reporting or analytics leadership role. We are looking for a technically deep, hands-on Data Engineering leader who can architect and evolve a modern Snowflake-native data platform, transforming fragmented data from multiple businesses and applications into governed, connected and AI-ready data assets. The organization has grown rapidly through acquisition, creating an exciting opportunity to establish a common data foundation across multiple ERP, operational and SaaS platforms without waiting for wholesale application consolidation. The Director will own the data supply chain from source connectivity and ingestion through dbt transformation, semantic modeling and AI enablement, creating the trusted data foundation for enterprise analytics, intelligent applications and emerging AI use cases.
Responsibilities
You will lead the continued evolution of a platform centered on Snowflake, dbt, AWS and modern ELT/ETL technologies, while helping shape how emerging Snowflake AI capabilities are applied across the enterprise.
- Snowflake Architecture: Own and evolve the enterprise Snowflake platform, including data modeling, performance, security, scalability and cost optimization.
- dbt & Semantic Layer: Build a governed, version-controlled semantic layer that establishes consistent enterprise metrics, dimensions, entities and relationships across the business.
- AI-Ready Data Foundation: Structure enterprise data so it can be reliably consumed not only by Power BI and analytics teams, but also by AI agents, natural-language interfaces and intelligent applications.
- Snowflake Cortex AI: