IT Data Architect - IT DATA ANALYTICS - Full-time - Day - Lawrenceville, NJ

SUMMARY (BASIC PURPOSE OF THE JOB) 

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 required 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. 

This role is an enterprise architecture and technical leadership position. It does not primarily build every pipeline, own business reporting, or manage product adoption. Instead, it defines how information should be structured, integrated, governed, protected, and made available across the organization, and it guides Data Engineers and solution teams in implementing those standards. 

MINIMUM REQUIREMENTS 

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. 

Anticipated Occupational Exposure Risks Include the following: N/A 

Reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.