Healthcare Data Solutions Architect

Ursa Health

22h • Remote

About The Position

The Healthcare Data Solutions Architect works in the Delivery department and reports to the AVP, Integration Engineering. The role organizes, transforms, and automates healthcare data so clients can move from raw data to meaningful analysis. It interprets and integrates payer claims, ADT, clinical/EMR, provider billing, and other operational datasets into the Ursa Core Data Model, creating reusable data models that support clinical, operational, and financial decisions.

The architect works with Ursa teams across analytics engineering, product development, and customer success, and directly with client data architects, analysts, clinicians, and other healthcare professionals. The position designs and builds integration pipelines and data models using Ursa Health’s data platform, and thoughtfully uses AI-assisted tools to accelerate delivery while applying domain knowledge and human judgment. It also supports client strategic roadmaps for enterprise data architecture, integration modernization, and AI adoption, while following healthcare data security and privacy procedures, including HIPAA requirements.

Requirements

• Bachelor’s degree.
• At least 4 years of experience working with one or more healthcare data domains, such as claims, provider billing, clinical, or pharmacy data.
• Familiarity with healthcare data integration concepts, common data sources such as payer data files or clinical/EMR systems, and data formats such as claims, provider billing, HL7 ADT, or FHIR.
• At least 4 years implementing and maintaining ETL/ELT pipelines and processes.
• At least 4 years of experience in end-to-end data integration, including data discovery, scoping, cleansing and curation, analysis, transformation, validation, and maintenance.
• Expertise in SQL, relational database technologies such as Snowflake, Microsoft SQL Server, Oracle, or PostgreSQL, and enterprise data modeling, with a focus on scalable, optimized, reusable data architectures.
• Availability to work during U.S. Eastern or Central Time business hours.

Nice To Haves

• Knowledge of healthcare interoperability or integration engines.
• Experience with ELT or workflow orchestration tools such as Fivetran, dbt, SQLMesh, Dagster, or Airflow; the role applies those concepts within Ursa Studio rather than using those tools directly.
• Experience building data models that support healthcare outcome measurement; familiarity with value-based care data and financial models is a plus.
• Working understanding of Python or JavaScript for manipulating and transforming large datasets, and of data science fundamentals.
• Professional experience with AI tools and judgment about applying them appropriately in healthcare data environments where output accuracy is critical.
• Demonstrated ability to drive organizational change, influence leadership, communicate across technical and business stakeholders, and deliver measurable business value through strategic technology initiatives.

Responsibilities

• Lead the integration of healthcare data packages—including medical and pharmacy claims, revenue cycle billing, ADT, clinical/EMR, FHIR, and value-based care financial datasets—into custom or Ursa Studio standard data models in collaboration with client and Ursa Health teams.
• Own end-to-end data solution architecture for ingesting, transforming, standardizing, and integrating complex healthcare datasets from multiple sources.
• Design and maintain scalable, standardized healthcare data models.
• Operationalize validation checks to preserve data integrity, prevent analytics degradation, and maintain client trust.
• Engage with clients to understand their data, its limitations, and analytical use cases, enabling actionable insights and informed business decisions.
• Collaborate with analytics engineering, customer success, and product teams to align delivery with client expectations and identify product opportunities based on client needs and data behavior.
• Partner with client leadership to define and execute strategic roadmaps for enterprise data architecture, integration modernization, and AI adoption.
• Use AI-assisted tooling thoughtfully to accelerate and improve delivery, applying domain knowledge and human judgment to ensure sound output.
• Keep knowledge current regarding data security and privacy procedures and policies, comply with HIPAA procedures, and collaborate with the Incident Response Team as directed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior