Data Architect
At a glance
Mid-level Data Architecture & Governance role at Ontrac Solutions. Remote, United States · contract.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Azure Data Factory and Databricks pipelines for X12 transactions and MTF files
- Shape FHIR ingestion with incremental updates, throttling and retry handling
- Create shared data models for referrals, clinical documents and provider-administered drugs
- Expand metadata-driven ingestion to handle new payloads without redesigning the platform
- Design HL7 linkage for 340B eligibility and clinical document storage, search and retrieval
What you bring
- You have hands-on experience with Azure Data Factory, Databricks and Spark-based data engineering
- You can model HL7 v2 and FHIR resources, including terminology mapping
- You have transformed X12 EDI data and designed APIs
- You bring experience with data platforms and metadata-driven architecture patterns
Who this fits
This contractor role suits a hands-on architect who can carry data-platform design through delivery and coordinate with client stakeholders and distributed teams. The engagement is fully remote within the United States.
From the employer
OVERVIEW
OnTrac is seeking a highly skilled and experienced Data Architect to join a contractor program supporting a healthcare / pharmacy benefit management (PBM) customer. The role owns architecture and technical delivery for a data platform expansion covering rebate reconciliation, referral capture, FHIR / HL7 interoperability, EDI transaction processing, and clinical data exchange. It is ideal for a hands-on architect who designs scalable, metadata-driven ingestion patterns that support current and future healthcare and pharmacy data feeds. The successful candidate will work closely with client stakeholders and distributed delivery teams to ensure project success from initial definition through final delivery.
ENGAGEMENT
• Location: United States, fully remote
REQUIRED QUALIFICATIONS
• 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
PREFERRED QUALIFICATIONS
• Healthcare payer / PBM or pharmacy rebate domain experience
• 340B program knowledge
• HIE connectivity (Carequality, CommonWell, Direct Secure Messaging)
• HCPCS / J-Code familiarity
• Patient matching and identity resolution experience
SCOPE AND DELIVERY EXPECTATIONS
The following covers the scope of work we anticipate the contractor supporting throughout the project. This scope is in line with our expectations of the project but is subject to change.
• Architect ingestion pipelines for X12 EDI (835, 837, 832, 810) and MTF files using Azure Data Factory and Databricks
• Design FHIR-based ingestion patterns (API and bundle) with incremental sync, throttling, and retry handling
• Define canonical data models for referral, clinical document, and provider-administered drug data
• Extend the existing 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 (CCD / C-CDA)
• Establish trading partner onboarding and configuration patterns
• Guide reporting and analytics data model design (tables and views for BI consumption)
• Partner with client stakeholders and vendor teams on integration points
GROWTH EXPECTATIONS
• Comfort using AI-assisted development tools (for example, GitHub Copilot or Claude Code) as force multipliers. Not required on day one; expected to develop.
COMPETENCIES
• Adaptability across ambiguous, evolving scope
• Clear cross-functional communication with the client and distributed delivery teams
• Ownership and prioritization across multiple concurrent workstreams
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