Director, Head of Data Engineering
Core
Architecting and implementing a modern enterprise data warehouse and unified data architecture to support business intelligence, operational reporting, and AI/ML innovation.
Role type
Director, Head of Data Engineering (strategic leadership with ~50% hands-on player-coach role)
Builds
Enterprise data warehouse, scalable data infrastructure, and AI-ready data pipelines
Domain
Security monitoring services, enterprise data engineering, AI/ML enablement
Deliverable
production ML models | infrastructure
Required skills
Leading and scaling data teams, designing modern data architectures, hands-on expertise with Snowflake/dbt/Airflow/AWS, translating technical vision to business impact, data governance and quality assurance, strategy for ML/NLP use cases
Preferred skills
Master's degree in CS/Engineering, experience delivering enterprise platforms for internal analytics and external products
Technologies
Snowflake, dbt, Airflow, AWS, Looker
Responsibilities
Design and implement a modern, scalable enterprise data warehouse; Lead development of unified data architecture; Evaluate and select data platforms and tools; Partner with stakeholders to translate requirements into pipelines; Build and mentor a high-performing data team; Implement data governance and security practices; Develop strategy to support machine learning and AI use cases
Seniority
Director, strategic leadership with hands-on execution
