Principal Data Architect

At Amwell, we’re transforming healthcare for all—powered by technology and inspired by people. Here, your ideas don’t just matter—they drive real change, improving lives on a global scale.

We marry technology and innovation with clinical excellence to provide trusted solutions that solve the healthcare industry’s biggest pain points and are on a mission to enable greater access to more convenient, affordable, and effective care.

We do this through our technology-enabled care platform that is designed to help our clients achieve their digital care ambitions – today and in the future. We offer programs spanning the full care continuum
, including urgent, acute and specialty care, behavioral health, and services for the treatment of chronic conditions such as heart and cardiometabolic diseases. Programs are powered by Amwell as well as our growing partner network.

For almost two decades
, Amwell has proudly served some of the largest and most sophisticated healthcare organizations in the U.S. and worldwide. Our team is passionate about technology’s role in transforming care delivery and making it more equitable, accessible, efficient, cost-effective and navigable for all.

We are seeking an experienced and strategic Data Architect with a focus on healthcare interoperability and enterprise data systems to lead the evolution of our data architecture. This role is critical in reducing institutional reliance on individual contributors by fully documenting existing systems, transferring knowledge, and designing a robust, scalable, and future-ready architecture. The ideal candidate will assess and document the current data ecosystem—particularly our use of UDMH—identify and eliminate operational risks, and guide the organization through a strategic evaluation of proprietary vs.

non-proprietary data model options.

• Conduct a comprehensive current-state assessment of our UDMH and data integration landscape.
• Document institutional knowledge and undocumented architecture currently held by a single contributor, with the goal of eliminating personnel-based single points of failure (SPOFs).
• Develop and maintain architecture artifacts including data flow diagrams, system dependencies, integration points, and technical documentation.
• Lead technology evaluations and proof-of-concept efforts for emerging interoperability tools (e.g., FHIR servers, interface engines, AI/ML-driven transformation platforms) to validate scalable and innovative architecture components.
• Evaluate proprietary vs. non-proprietary paths for UDMH, providing technical and strategic recommendations based on scalability, cost, flexibility, and long-term sustainability.
• Define and communicate a future-state data architecture roadmap that supports scalability, fault tolerance, and evolving organizational needs.
• Design and implement interoperable data solutions using standards such as FHIR and HL7 to support seamless integration across healthcare systems.
• Provide subject matter expertise in source-to-target mapping across data systems and specifications.
• Oversee the integration of diverse data sources into a unified, governed data platform to support both clinical and operational use cases.
• Define data models, classifications, and types that align with business and clinical application needs.
• Establish KPIs and monitoring frameworks to assess system performance, availability, data quality, and architectural resilience over time.
• Lead and enforce data governance frameworks to ensure compliance with HIPAA and other regulatory standards, emphasizing data quality, privacy, and security.
• Continuously optimize and automate data integration workflows, improving availability, performance, and operational efficiency.
• Collaborate with clinical, technical, and leadership stakeholders to align data strategies with business objectives and patient outcomes.
• Partner with security and IT teams to ensure strong authentication, encryption, and access controls for sensitive healthcare data.
• Serve as a mentor and knowledge-sharing leader for data engineers, analysts, and developers, ensuring institutional knowledge is distributed and scalable.