• Define and maintain enterprise-wide logical and physical data models • Establish and enforce scalable data standards and governance policies • Ensure our data platform is reliable, high-performing, and built for growth • Align data architecture with long-term business and product strategy • Design and refine conceptual, logical, and physical data models • Optimize database schemas for performance, maintainability, and scalability • Lead strategic database refactoring and modernization initiatives • Architect secure, cloud-native data solutions, with a strong emphasis on Azure • Design high-availability, disaster recovery, and resilience strategies • Guide the evolution of our modern data ecosystem • Design and oversee resilient ETL/ELT pipelines for ingestion and transformation • Establish standards for API integrations and data exchange • Ensure reliable capture, processing, and distribution of enterprise data • Implement comprehensive data governance frameworks • Define and enforce role-based access controls and data security standards • Ensure compliance with regulatory requirements such as HIPAA, FERPA, and SOC 2 • Establish audit logging and traceability practices to protect data integrity • Partner closely with Product and Engineering teams to support new feature development • Provide technical leadership and architectural direction to data engineers and developers • Conduct architecture reviews and approve data design specifications • Mentor team members on best practices in data architecture and governance