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Data Interoperability Solutions Architect

Roles & Responsibilities

  • B.S. in Computer Science, Systems Engineering, Management, or related field, or equivalent experience.
  • 5+ years of experience in healthcare data engineering, health IT, or related technical field.
  • Strong working knowledge of healthcare interoperability standards: HL7 v2, FHIR, C-CDA, or X12.
  • Proficiency in at least one backend language (Python, Java, or C#) and strong SQL/NoSQL skills.

Requirements:

  • Design and implement health data integration strategies across complex healthcare ecosystems and translate business requirements into scalable technical architectures enabling seamless data exchange.
  • Lead discovery sessions with clients and stakeholders to understand data needs, workflows, and system landscapes.
  • Define scalable ingestion and normalization pipelines for clinical, claims, and administrative data, and develop technical specifications, data flow diagrams, and integration roadmaps.
  • Implement and optimize data exchanges using HL7 v2, FHIR R4, C-CDA, X12 EDI, and other healthcare standards; design FHIR-based APIs and ensure regulatory compliance (USCDI, ONC, HIPAA).

Job description

Job Type
Full-time
Description

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care. 


With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.  

Requirements

The Data Solutions Architect will design and implement health data integration strategies across complex healthcare ecosystems. You'll serve as the bridge between clinical stakeholders and engineering teams, translating business requirements into scalable technical architectures that enable seamless health data exchange. 

  • Lead discovery sessions with clients and stakeholders to understand data needs, workflows, and system landscapes. 
  • Define scalable ingestion and normalization pipelines for clinical, claims, and administrative data.
  • Develop technical specifications, data flow diagrams, and integration roadmaps. 
  • Implement and optimize data exchanges using HL7 v2, FHIR R4, C-CDA, X12 EDI, and other healthcare standards.
  • Design FHIR-based APIs and ensure compliance with regulatory frameworks such as USCDI, ONC, and HIPAA.
  • Evaluate build vs. buy decisions and recommend appropriate technologies.
  • Collaborate with data teams to design performant data models for analytics and reporting.

Minimum Qualifications:

  • B.S. in Computer Science, Systems Engineering, Management, or related or equivalent experience. 
  • 5+ years of experience in healthcare data engineering, health IT, or a related technical field.
  • Strong working knowledge of healthcare interoperability standards: HL7 v2, FHIR, C-CDA, or X12.
  • Exposure to EHR platforms such as Epic or Cerner.
  • Proficiency in at least one backend language (Python, Java, C#) and strong SQL/NoSQL skills.
  • Excellent communication skills with the ability to lead technical discussions and document solutions clearly.

Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.


Salary Description
$120,000-$170,000

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