Data Architect

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. Core Focus Areas

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. Technical Environment

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. Qualifications

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). Preferred 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.