Principal Architect, Payer Data Platform

Veradigm®

. Define and deliver the clinical and payer data foundation for Veradigm’s payer products on Health Network Architecture .

Posted 11/12/2026full-timeRaleigh • North Carolina • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building healthcare data platforms, particularly for payer data, while ensuring compliance with HIPAA and other regulatory standards. Proficient in utilizing AI tools for data transformation and quality assurance, alongside strong knowledge of cloud architecture and data modeling.

Highest-signal resume keywords

Healthcare Data Platform DesignAWS Certified Solutions Architect – ProfessionalExpert in FHIR Resource ModelingHands-On Experience with Python, Java, or C#Knowledge of HIPAA and Data Quality Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingFHIR Resource ModelingX12 EDIHL7REST APIsAI ToolsData Quality AssuranceCloud ArchitectureData ContractsEvent-Driven Design

Soft Skills

CollaborationCommunicationProblem-SolvingTeam Leadership

Tools & Technologies

AWSSnowflakeRDBMSData WarehousesData Lakehouses

Certifications & Qualifications

AWS Certified Solutions Architect – Professional

Industry Keywords

HealthcarePayer DataHIPAAClinical DataUtilization ManagementRisk AdjustmentCMS InteroperabilityData GovernanceMaster Data ManagementIdentity Resolution

Tech Stack

Tools & technologies

AWSCloudJavaPythonRDBMSSnowflake

About the role

Key responsibilities & impact

Define and deliver the clinical and payer data foundation for Veradigm’s payer products on Health Network Architecture
Design ingestion frameworks for claims, remittance, enrollment, eligibility, pharmacy, lab, ADT, and clinical documents across X12, HL7, FHIR, and file feeds
Establish standards for validation, reconciliation, provenance, observability, and safe reprocessing
Define the architecture and migration sequence for moving existing payer feeds onto HNA without disrupting customers
Design shared clinical and payer data definitions and contracts
Enable payer products to reuse shared definitions, contracts, and services while supporting distinct workflows
Run model governance, including versioning, schema evolution, extension approvals, and data contracts
Define use of synchronous APIs, events, bulk exchange, and analytical access, including FHIR interfaces
Design access controls with Security and Privacy to meet HIPAA minimum-necessary, consent, and audit requirements
Design data foundations for accurate and safe AI features
Build reference implementations and shared primitives
Use AI to map feeds, generate and test transformations, and identify data quality issues
Review data designs across payer product teams against shared standards
Collaborate with HNA platform architecture, Product, and engineering teams through delivery
Grow data-modeling skills across engineering teams
Work as a hands-on individual contributor, spending about 25% of time building and the remainder on design, design review, and team collaboration

Requirements

What you’ll need

Bachelor’s Degree or equivalent technical/business experience (Required)
10+ years of relevant work experience; 2–3 years at the Expert level or equivalent experience (Preferred)
5+ years of practical experience designing and building enterprise or distributed software systems (Preferred)
5+ years designing data platforms for healthcare clinical and/or payer data (claims, eligibility, clinical records) (Required)
Master’s Degree (Preferred)
AWS Certified Solutions Architect – Professional, or equivalent cloud architecture certification (Preferred)
Expert in relational, dimensional, and FHIR resource modeling, canonical models, and data contracts
Hands-on knowledge of X12 EDI, NCPDP, HL7 v2, C-CDA, FHIR R4, implementation guides, and healthcare code sets
Experience with REST and FHIR APIs, event-driven design, caching, and production coding in Python, Java, or C#
Working knowledge of payer business domains including risk adjustment, quality, care management, utilization management, prior authorization, and CMS interoperability rules
Experience using AI tools in daily design and engineering work
Experience designing healthcare data for AI features, including grounding, structured extraction, evaluation, and PHI guardrails
Understanding of clinical data flows from provider systems into payer use cases
Experience designing adoptable internal platforms with clear contracts, documentation, sensible defaults, and migration paths
Strong knowledge of AWS, cloud data warehouses or lakehouses such as Snowflake, RDBMS, batch and streaming pipelines, and orchestration
Knowledge of master data management and identity resolution for members and providers
Knowledge of HIPAA, audit, HITRUST, and SOC 2 controls for PHI
Knowledge of data quality, observability, and lineage practices
Ability to explain data architecture clearly to engineers, product managers, and executives
Up to 20% travel may be required
Applicants for North American based positions must be legally authorized to work in the United States or Canada
Visa sponsorship is not offered for this position

Benefits

Comp & perks

Holidays
Vacation
Medical insurance
Dental insurance
Vision insurance
Company-paid life insurance
Retirement savings
Tools and flexibility to bring the best version of themselves to work
Professional development opportunities
Hybrid work arrangement