Job Description
- 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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