IT Data Architect - IT DATA ANALYTICS - Full-time - Day - Lawrenceville, NJ
About The Position
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 AI. The role establishes long-term information architecture, domain models, integration principles, cloud data platform direction, governance patterns, and technical standards so enterprise data is trusted, secure, interoperable, reusable, and AI-ready. Working across engineering, data, analytics, clinical and business applications, infrastructure, cybersecurity, privacy, compliance, and operational leadership, the architect translates enterprise strategy and healthcare information needs into reference architectures, roadmaps, decision frameworks, and solution guidance. The position guides teams toward reusable capabilities rather than isolated data assets. It is an enterprise architecture and technical leadership role, focused on defining how information is structured, integrated, governed, protected, and made available, rather than building every pipeline, owning business reporting, or managing product adoption. The position reports to the Director, Product Engineering and AI; Director, Enterprise Applications and Data; or Enterprise Architecture Leader. It does not formally supervise employees, but provides architecture leadership, technical direction, standards, and solution guidance to technical teams, analysts, and vendors.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Information Technology, Data Science, Engineering, Health Informatics, or a related field; equivalent combinations of education and advanced relevant experience may be considered.
- Demonstrated success designing enterprise data, information, integration, or cloud architectures for complex organizations.
- 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.
- Ability to demonstrate enterprise systems thinking, strategic judgment, influence without authority, intellectual curiosity, disciplined decision-making, clear communication, facilitation, conflict resolution, and balance long-term architecture with pragmatic delivery needs.
Nice To Haves
- Master’s degree.
- Healthcare provider experience, regulated data experience, and leadership of data platform modernization.
- DAMA CDMP, TOGAF, Microsoft Azure Solutions Architect, Microsoft Fabric, Databricks, Snowflake, cloud architecture, HL7/FHIR, or related credentials.
- 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.
Responsibilities
- 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, data quality, retention, and lifecycle architecture 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.
- Define enterprise architecture for Microsoft Fabric, OneLake, semantic models, and governed data products.
- Establish healthcare interoperability patterns for HL7, FHIR, APIs, and vendor data exchange.
- Maintain current knowledge of applicable technologies, healthcare data practices, security and privacy requirements, and industry standards.
- Perform other duties as assigned.
Benefits
- Medical Plan
- Prescription drug coverage and In-House Employee Pharmacy
- Dental Plan
- Vision Plan
- Flexible Spending Account (healthcare and dependent care)
- Retirement Savings and Investment Plan
- Basic and supplemental group term life and AD&D insurance
- Long-term and short-term disability benefits
- Employee Assistance Program
- Commuter transit and parking benefits
- Voluntary legal services
- Voluntary accident, critical illness, and hospital indemnity insurance
- Voluntary identity theft insurance
- Voluntary pet insurance
- Paid Time-Off Program
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
