Lead the design and development of enterprise-level data architecture. Develop schemas, integration patterns, crosswalks, and APIs for interoperability. Establish scalable data infrastructure using platforms like Snowflake, AWS, Salesforce. Design ETL/ELT pipelines for data extraction, transformation, and harmonization. Support implementation of FHIR, HL7, LOINC, ICD, and/or OMOP CDM standards. Guide technical teams in implementing data lakes, data warehouses, and data marts. Establish standards for data modeling, metadata, interoperability, provenance, and quality. Collaborate with data governance experts to align architecture with stewardship, compliance, and security protocols. Ensure architecture supports high-priority use cases like ELR and CDR. Collaborate with epidemiologists, IT teams, and program leads to translate business needs into data solutions. Serve as the technical liaison across state agencies, vendors, and partners. Recommend architecture scaling strategies for multi-agency interoperability. Lead or advise teams on platform configuration, environment setup, and cloud deployment. Monitor emerging tools and national DMI standards to future-proof system design. Communicate architectural decisions to technical and non-technical audiences.