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

Capital Health

Company websitecapitalhealth.org (Capital Health, opens in new tab)

Base salary $124,218  to $162,302

Employer-published annual base salary, USD. Advertised base range CH IT Lawrenceville

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  • LocationCH IT Lawrenceville
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Capital Health is the region's leader in providing progressive, quality patient care with significant investments in our exceptional physicians, nurses and staff, as well as advanced technology. Capital Health is a dynamic health care resource accredited by the DNV that includes two hospitals, an outpatient center, satellite ED, and an expansive network of primary and specialty care. Capital Health Medical Group is made up of more than 600 physicians and other providers who offer primary and specialty care, as well as hospital-based services, to patients throughout the region.

Capital Health recognizes that attracting the best talent is key to our strategy and success as an organization. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we can attract the best candidates.

The listed pay range or pay rate reflects compensation for a full-time equivalent (1.0 FTE) position. Actual compensation may differ depending on assigned hours and position status (e.g., part-time).

Pay Range:

$124,217.60 - $162,302.40

Scheduled Weekly Hours:

40

Position Overview

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 

Education: 

Bachelor's degree in Computer Science, Information Systems, Information Technology, Data Science, Engineering, Health Informatics, or a related field required. 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. 

Special Training: 

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 required 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. 

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. 

This position is eligible for the following benefits:

  • Medical Plan

  • Prescription drug coverage & In-House Employee Pharmacy

  • Dental Plan

  • Vision Plan

  • Flexible Spending Account (FSA)

- Healthcare FSA

- Dependent Care FSA

  • Retirement Savings and Investment Plan

  • Basic Group Term Life and Accidental Death & Dismemberment (AD&D) Insurance

  • Supplemental Group Term Life & Accidental Death & Dismemberment Insurance

  • Disability Benefits – Long Term Disability (LTD)

  • Disability Benefits – Short Term Disability (STD)

  • Employee Assistance Program

  • Commuter Transit

  • Commuter Parking

  • Supplemental Life Insurance

- Voluntary Life Spouse

- Voluntary Life Employee

- Voluntary Life Child

  • Voluntary Legal Services

  • Voluntary Accident, Critical Illness and Hospital Indemnity Insurance

  • Voluntary Identity Theft Insurance

  • Voluntary Pet Insurance

  • Paid Time-Off Program

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. 

The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, differential pay or other forms of compensation, compensation allowance, or benefits health or welfare. Actual total compensation may vary based on factors such as experience, skills, qualifications, and other relevant criteria. 

Source: Capital Health on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($124,218) is above 14% of the 3,590 Data & ML roles nationwide listed on this site. Their median floor is $170,000; the middle half runs from $138,420 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Capital Health roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Capital Health roles with the nearest advertised base floor
RolePublished base
IT Data Architect - IT DATA ANALYTICS - Full-time - Day - Lawrenceville, NJ (this listing)$124,218 - $162,302
Nurse Practitioner/Physician Assistant - Neuro Critical Care$126,090 - $178,090
Physician Assistant - Neuro ICU$126,090 - $178,090
Nurse Practitioner/Physician Assistant - Neuro Critical Care$126,090 - $178,090
Nurse Practitioner - Acute Cardiology$119,850 - $171,392
Compensation Program Manager - On-Site - Lawrenceville, NJ$119,392 - $156,000
Nurse Manager - Main Operating Room - HPW - Full-Time - Day$118,300 - $149,094

Same $100K to $400K scale as every card. All Capital Health roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-11-04
Where this pay comes from

Location as the employer wrote it: CH IT Lawrenceville

$124,217.60 - $162,302.40

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.