Job Details

Data Architect (Clinical Data Platform)

Type: Contract-to-Hire
Onsite Required? Yes, 2 days per month onsite are required. Local candidates are strongly preferred, with the potential to go onsite more frequently.

Overview

We are seeking an experienced Data Architect to play a key role in designing and supporting a next-generation Clinical Data Platform. This position will focus on architecting data models, building integration pipelines across multiple healthcare systems, and ensuring a scalable, governed data environment that supports clinical, payer, and pharmacy use cases.

The ideal candidate brings a strong technical foundation in data integration and transformation, with deep familiarity in clinical data standards and interoperability frameworks. This role will work closely with ETL/Implementation Leads, Business System Analysts, and cross-functional project teams to deliver high-quality, production-ready data solutions.

Key Responsibilities

• Architect and design the Clinical Data Platform, ensuring alignment with enterprise data strategy and interoperability goals.
• Develop and maintain data integration pipelines connecting EMR, payer, and pharmacy systems.
• Define, document, and enforce data governance standards, metadata management, and data model best practices.
• Collaborate with Implementation Leads and Business/System Analysts to translate business requirements into scalable technical designs.
• Create detailed technical specifications, mappings, and documentation for development teams.
• Partner with delivery teams and vendors to ensure adherence to architecture and data quality standards throughout the SDLC.
• Support data migration, profiling, and validation activities for clinical data sources.
• Participate in weekly project reviews to ensure milestones and deliverables are met.

• Data Integration & Transformation: ETL/ELT design, data ingestion from multiple healthcare systems, and pipeline orchestration.
• Clinical & Patient Data Models: Designing schema for EHR/EMR, claims, and clinical exchange data.
• Interoperability Architecture: Understanding and application of healthcare data standards such as FHIR, CCD, HL7, and ADT.
• Payer & PBM Integration: Familiarity with payer-side and pharmacy benefit data exchanges.

• Cloud-based data platforms (e.g., Databricks, Azure, or AWS data services).
• Strong background in SQL, ETL tools (e.g., Informatica, Talend), and data modeling frameworks.
• Experience with enterprise data warehouses and data lake architectures.
• Emphasis on hands-on technical execution and collaboration across multidisciplinary teams.

• 7+ years of experience in data architecture, data engineering, or enterprise data design.
• Proven success designing or implementing healthcare data solutions involving clinical, payer, and/or interoperability data.
• Deep understanding of data modeling, data lineage, metadata management, and data governance.
• Strong communication skills with ability to translate complex data concepts to technical and non-technical audiences.
• Experience working alongside consulting or delivery teams in a matrixed or vendor-partnered environment.
• Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience).

• Background with healthcare data integration (FHIR, HL7, CCD, ADT, EDI 837/835, etc.).
• Familiarity with Databricks, Informatica, and Teradata ecosystems.
• Prior experience in data platform modernization or enterprise data strategy initiatives.
• Comfortable working in structured weekly sprints with defined deliverables.