Public Health Data Architect

Founded in 2004, BME Strategies is a Massachusetts-based consulting firm specializing in providing Public Health design and implementation programming for local, regional, and state governments.

Position Overview

We are seeking an experienced Public Health Data Architect to support a statewide Data Modernization Initiative (DMI). This role will lead the technical design and architecture of modernized public health data systems, including building interoperable, secure, and scalable data environments aligned with CDC, DPH, and national interoperability standards (FHIR, HL7, OMOP, etc.).

The ideal candidate will bring expertise in data architecture, system integration, interoperability design, data engineering, and cloud-based health information infrastructure, with a strong understanding of public health data systems and reporting needs. This individual will bridge the business, epidemiology, and IT domains—designing foundational architecture that enables analytics, surveillance, and decision support.

Key Responsibilities

Architectural Design and Strategy

• 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.
  
  

System Integration and Engineering

• 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.
  
  

Governance and Quality

• 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.
  
  

Stakeholder Collaboration

• 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.
  
  

Technical Leadership

• 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

Required:

• 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.
  
  

Preferred

• Experience with CDC-funded DMI programs or state health department data modernization efforts.
• Familiarity with Massachusetts’ public health data ecosystem (MAVEN, MIIS, HIEs, Vital Statistics).
• Certifications such as TOGAF, AWS Certified Data Engineer, CDMP, or HL7/FHIR.
  
  

Working Conditions

• Remote work, with occasional travel to client sites, conferences, or meetings as required.
• Ability to work independently and as part of a team in a fast-paced consulting environment.
  
  

Benefits

Expected range is $100k-160k annually

Comprehensive Benefits Package, Including

• 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
  
  

BME Strategies expects a large volume of applicants for this position and only those candidates invited to move forward in the interview process will be contacted.

Please note that BME Strategies is unable to sponsor work-related visas.

We are made up of people with different strengths, experiences, and backgrounds. Diversity not only includes race and gender identity but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. These varied points of view are key to our success, and inclusion is everyone's responsibility.

BME Strategies is an equal-opportunity employer. All qualified applicants will be considered for employment without unlawful discrimination based on race, color, creed, national origin, sex, age, disability, marital status, sexual orientation, military status, prior record of arrest or conviction, or current employment status.