Public Health Data Architect
Job Description:
• 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.
Requirements:
• Master’s degree in Informatics, Information Systems, Computer Science, Public Health Informatics, or a related field.
• Minimum 7 years of experience in data architecture, data engineering, or system integration, ideally in public health or healthcare.
• Demonstrated experience designing data warehouses, API-driven data exchanges, and cloud-based data platforms (AWS, Snowflake, Azure, Salesforce).
• Strong working knowledge of interoperability standards (HL7, FHIR, LOINC, OMOP, ICD-10, etc.) and applying them to real-world system integration.
• Expertise in designing ETL/ELT workflows, data models, and system mapping for public health reporting and analytics.
• Strong proficiency with SQL, data modeling tools, metadata management, and data security best practices.
• Excellent ability to communicate complex technical concepts to stakeholders at varying levels of technical fluency.
Benefits:
• 6+ weeks total leave, including paid vacation, sick time, personal leave, and floating holidays
• Health, dental, and vision insurance
• Health FSA and dependent care FSA
• 401(k) with employer match
• Employer-paid short-term and long-term disability insurance
• One-time technology stipend
• Opportunities for professional development and career growth
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• 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.
Requirements:
• Master’s degree in Informatics, Information Systems, Computer Science, Public Health Informatics, or a related field.
• Minimum 7 years of experience in data architecture, data engineering, or system integration, ideally in public health or healthcare.
• Demonstrated experience designing data warehouses, API-driven data exchanges, and cloud-based data platforms (AWS, Snowflake, Azure, Salesforce).
• Strong working knowledge of interoperability standards (HL7, FHIR, LOINC, OMOP, ICD-10, etc.) and applying them to real-world system integration.
• Expertise in designing ETL/ELT workflows, data models, and system mapping for public health reporting and analytics.
• Strong proficiency with SQL, data modeling tools, metadata management, and data security best practices.
• Excellent ability to communicate complex technical concepts to stakeholders at varying levels of technical fluency.
Benefits:
• 6+ weeks total leave, including paid vacation, sick time, personal leave, and floating holidays
• Health, dental, and vision insurance
• Health FSA and dependent care FSA
• 401(k) with employer match
• Employer-paid short-term and long-term disability insurance
• One-time technology stipend
• Opportunities for professional development and career growth
Apply tot his job
Apply To this Job