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Data Architect

Job not on LinkedIn

🔥 14 hours ago

🚗 Michigan – Remote

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đź’µ $95 - $115 / hour

⏳ Contract/Temporary

🟡 Mid-level

đźź  Senior

đźš° Data Engineer

đź‘» Ghost score 20%

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Logo of Ontrac Solutions

Ontrac Solutions

11 - 50 employees

Founded 2010

🤖 Artificial Intelligence

đź’Ľ Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.

đź“‹ Description

• 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

• 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

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