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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Data Architect - IT DATA ANALYTICS - Full-time - Day - Lawrenceville, NJ - **Company:** CAPITAL HEALTH PARTNER, LLC - **Location:** Lawrenceville, GA, United States - **Salary:** $124,218 - $162,302 - **Contract:** Permanent contract - **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Audit Trail, Microsoft Azure, Business Intelligence Development, Health Informatics, Business Software, Cloud Engineering, Cyber Security, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Interoperability, Metadata, Reference Data, Software Engineering, Data Streaming, Enterprise Software Applications, Cloud Platform System, Fast Healthcare Interoperability Resources, Snowflake, Technical Debt, Togaf, Microsoft Fabric, Information Technology, Data Analytics, Health Level Seven International, Data Management, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/it-data-architect-it-data-analytics-full-time-day-lawrenceville-nj-lawrenceville-ga--35d160fe-60a9-4162-97d9-bde47b5a8026 ## About the Role DataArchitect Data Modeling Tool, Data Analysis, Nursing, Patient Care, Outpatient Care, Healthcare, Hospital, Primary Care, DataArchitect Data Modeling Tool, Automation, Bachelor's degree in Computer Science, Information Systems, Information Technology, Data Science, Engineering, Health Informatics, or a related field . Master's degree preferred. Equivalent combinations of education and advanced relevant experience may be considered. Experience: Demonstrated success designing enterprise data, information, integration, or cloud architectures for complex organizations. Healthcare provider experience, regulated data experience, and leadership of data platform modernization are strongly preferred. Other Credentials: DAMA CDMP, TOGAF, Microsoft Azure Solutions Architect, Microsoft Fabric, Databricks, Snowflake, cloud architecture, HL7/FHIR, or related credentials are preferred. Knowledge and Skills: Advanced knowledge of enterprise data architecture, conceptual and logical modeling, domain architecture, master and reference data, metadata, lineage, data quality, lakehouse and warehouse architecture, APIs, streaming, healthcare interoperability, security and privacy, cloud platforms, AI-ready data patterns, semantic models, vector and retrieval architectures, architecture governance, and technology roadmapping., The pay range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered including, but not limited to location, years of relevant experience, education, credentials, negotiated contracts, budget, market data, and internal equity. Bonus and/or incentive eligibility are determined by role and level. ## Description The IT Data Architect defines and governs Capital Health's enterprise data architecture to support clinical care, operational excellence, analytics, internally developed products, workflow automation, and responsible artificial intelligence. The role establishes the long-term information architecture, domain models, integration principles, cloud data platform direction, governance patterns, and technical standards to make enterprise data trusted, secure, interoperable, reusable, and AI-ready. The incumbent works across Product Engineering, AI Engineering, Software Development, Data Engineering, Analytics, Clinical and Business Applications, Infrastructure, Cybersecurity, Privacy, Compliance, and operational leadership. The Data Architect translates enterprise strategy and healthcare information needs into reference architectures, roadmaps, decision frameworks, and solution guidance while ensuring that individual projects create reusable capabilities rather than isolated data assets., Training in enterprise architecture, DAMA data management disciplines, Microsoft Azure and Fabric, healthcare data standards including HL7 and FHIR, cybersecurity, privacy, responsible AI, architecture review, and executive communication is preferred. Mental, Behavioral and Emotional Abilities: Must demonstrate enterprise systems thinking, strategic judgment, influence without authority, intellectual curiosity, disciplined decision-making, clear communication, facilitation, conflict resolution, and the ability to balance long-term architecture with pragmatic delivery needs. Usual Work Day: 8 Hours; flexibility may be to support stakeholder sessions, releases, implementations, production issues, and scheduled maintenance. REPORTING RELATIONSHIPS Reports to: Director, Product Engineering and AI; Director, Enterprise Applications and Data; or Enterprise Architecture Leader Does this position formally supervise employees? No. This position does not formally supervise employees. It provides enterprise architecture leadership, technical direction, standards, and solution guidance to Data Engineers, BI Developers, Application Developers, AI Engineers, analysts, and vendors. ESSENTIAL FUNCTIONS * Define and maintain the enterprise data architecture vision, principles, reference architectures, standards, and multi-year roadmap. * Establish conceptual and logical enterprise data models, information domains, ownership boundaries, and authoritative source strategies. * Define cloud data platform, lakehouse, warehouse, streaming, API, interoperability, semantic, and AI-ready architecture patterns. * Guide master data, reference data, metadata, catalog, lineage, quality, retention, and lifecycle architecture in partnership with governance and business owners. * Lead architecture reviews for major data, analytics, product, integration, and AI initiatives; document decisions, exceptions, and remediation plans. * Partner with Security, Privacy, Compliance, and Infrastructure to embed access control, encryption, auditability, segmentation, resiliency, and PHI protection into data designs. * Provide architectural guidance to Data Engineers, Software Developers, AI Engineers, analysts, and vendors; promote reuse and reduce duplication and technical debt. * Evaluate technologies and vendors, develop investment recommendations, and communicate architecture implications to IT and executive leadership. * Supports enterprise data architecture and roadmap. * Supports information domains, models, and authoritative sources. * Supports cloud, lakehouse, warehouse, API, and interoperability architecture. * Supports metadata, lineage, master data, quality, and lifecycle architecture. * Supports security, privacy, resiliency, and responsible AI alignment. * Supports architecture governance, technology evaluation, and technical guidance. * Define the enterprise architecture for Microsoft Fabric, OneLake, semantic models, and governed data products. * Establish healthcare interoperability patterns for HL7, FHIR, APIs, and vendor data exchange. * Maintains current knowledge of applicable technologies, healthcare data practices, security and privacy requirements, and industry standards. * Performs other duties as assigned. PHYSICAL DEMANDS AND WORK ENVIRONMENT Frequent physical demands include:Sitting, keyboard use, and repetitive motion. Occasional physical demands include:Standing, walking, twisting, bending, reaching forward, and travel between facilities as needed. Continuous physical demands include:Computer and screen use in a standard office and healthcare environment. Lifting: Floor to waist 15 lbs.; waist level and above 10 lbs. Sensory Requirements include:Accurate near vision, accurate far vision, color discrimination, depth perception, and accurate hearing.