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Ontrac Solutions

Data Architect

Ontrac Solutions

. Own architecture and technical delivery for a healthcare and pharmacy benefit management data platform expansion .

Posted 9/25/2026contractRemote • Michigan • United StatesMid-LevelSenior💰 $95 - $115 per hourWebsite

Tech Stack

Tools & technologies
AzureSpark

About the role

Key responsibilities & impact
  • Own architecture and technical delivery for a healthcare and pharmacy benefit management data platform expansion
  • Architect ingestion pipelines for X12 EDI (835, 837, 832, 810) and MTF files using Azure Data Factory and Databricks
  • Design FHIR-based ingestion patterns with incremental sync, throttling, and retry handling
  • Define canonical data models for referral, clinical document, and provider-administered drug data
  • Extend the metadata-driven ingestion framework to support new payload types without platform redesign
  • Architect HL7 ADT / SIU linkage supporting 340B eligibility determination
  • Design clinical document storage, indexing, and retrieval architecture for CCD / C-CDA
  • Establish trading partner onboarding and configuration patterns
  • Guide reporting and analytics data model design for BI consumption
  • Partner with client stakeholders and vendor teams on integration points
  • Work with client stakeholders and distributed delivery teams from initial definition through final delivery

Requirements

What you’ll need
  • Azure Data Factory, Databricks, and Spark-based data engineering
  • HL7 v2 (ADT, SIU) and FHIR, including resource modeling and terminology mapping
  • X12 EDI parsing and transformation experience
  • Strong API design background
  • Data platform and metadata-driven architecture patterns
  • Healthcare payer / PBM or pharmacy rebate domain experience preferred
  • 340B program knowledge preferred
  • HIE connectivity (Carequality, CommonWell, Direct Secure Messaging) preferred
  • HCPCS / J-Code familiarity preferred
  • Patient matching and identity resolution experience preferred
  • Comfort using AI-assisted development tools such as GitHub Copilot or Claude Code expected to develop
  • Clear cross-functional communication with the client and distributed delivery teams
  • Ownership and prioritization across multiple concurrent workstreams
  • Adaptability across ambiguous, evolving scope