Enterprise Data Architect – Healthcare AI & Cloud

Capital Health (US); Lawrenceville (NJ); On-site; USD 124,000 - 162,000; Full time

Benefits offered by this job

Medical Plan

Dental Plan

Vision Plan

Paid Time Off

Job summary

Capital Health is seeking a Senior IT Data Architect to define and govern the enterprise data architecture supporting clinical care, analytics, and AI-ready data assets. The role collaborates with Product Engineering, AI, Data Engineering, and Security to ensure reusable, secure data capabilities.

Responsibilities include establishing models, governance, cloud patterns, and governance frameworks while guiding data engineers and solution teams in implementing standards across the organization.

Qualifications

• Bachelor's degree or higher in a related field.
• Experience designing enterprise data architectures for complex organizations.
• Preferred credentials: DAMA CDMP, TOGAF, Azure/Fabric, HL7/FHIR.

Responsibilities

• Define and maintain the enterprise data architecture vision, principles, and roadmaps.
• Establish conceptual and logical data models and authoritative source strategies.
• Define cloud data platform, lakehouse, and data interoperability patterns.
• Guide data governance, metadata, lineage, quality, and lifecycle architecture.
• Lead architecture reviews and communicate implications to IT and executives.

Skills

Enterprise data architecture

Cloud data platforms

Data governance

Healthcare interoperability

Education

Bachelor's degree in Computer Science or related field

Master's preferred

Tools

Azure

Databricks

Snowflake

Job description

Capital Health is seeking a Senior IT Data Architect to define and govern the enterprise data architecture supporting clinical care, analytics, and AI-ready data assets. The role collaborates with Product Engineering, AI, Data Engineering, and Security to ensure reusable, secure data capabilities.

Responsibilities include establishing models, governance, cloud patterns, and governance frameworks while guiding data engineers and solution teams in implementing standards across the organization.