• Lead the design and development of enterprise-level data architecture, including conceptual, logical, and physical data models for public health data environments. • Develop schemas, integration patterns, crosswalks, and APIs to enable interoperability between disparate data sources (EHR, vital statistics, immunization registries, environmental health, MAVEN, etc.). • Establish scalable data infrastructure using platforms such as Snowflake, AWS, Salesforce Public Sector Solutions, and Informatica. • Design ETL/ELT pipelines to extract, transform, and harmonize data across structured and unstructured public health sources. • Support implementation of FHIR, HL7, LOINC, ICD, and/or OMOP CDM standards to ensure semantic consistency and future-proofed system integration. • Guide technical teams in implementing data lakes, data warehouses, and data marts for analytics and operational use. • Establish standards for data modeling, metadata, interoperability, provenance, and quality monitoring. • Collaborate with data governance experts to align architecture with stewardship, compliance, data classification, and security protocols. • Ensure architecture supports high-priority use cases, including ELR, CDR, reportable condition surveillance, and Health Equity data monitoring. • Collaborate with epidemiologists, IT teams, analytics staff, and public health program leads to translate business needs into data solutions. • Serve as the technical liaison across state agencies, vendors, and modernization partners (CDC, HIEs, providers, etc.). • Recommend architecture scaling strategies for multi-agency interoperability and sustained modernization. • Lead or advise teams on platform configuration, environment setup, identity and access management, and cloud deployment. • Monitor emerging tools, data fabrics, and national DMI standards to future-proof system design. • Communicate architectural decisions, principles, and implementation roadmaps to both technical and non-technical audiences.