Radiant Digital

Cloud Data Solution Architect (Healthcare)

Contract · In Office · USA

Posted Jul 31, 2026

Work Options

In Office

Cloud Stack

Oracle AWS

Skills

Docker Postgres Kubernetes SQL Python

Industry

Services Research Other

Job Type

Contract

Position Group

Other Positions

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Minimum 5 years of hands-on experience in developing and maintaining code to automate the processing of major medical terminologies such as SNOMED CT, RxNorm, LOINC, and the Unified Medical Language System (UMLS)
Experience writing scripts (often in Java, Python, or Perl) to convert, map, and validate raw health data against federal and international interoperability standards (e.g., HL7, FHIR).
Experience implementing automated testing frameworks to detect errors, inconsistencies, or version conflicts in large terminology datasets before they are published to the Data Center.
Demonstrated experience with AWS cloud migration, containerization (Docker, Kubernetes), and CI/CD pipelines.
Experience with terminology systems like UMLS, RxNorm, VSAC, and eCQMs.
Experience in data governance, data quality, and data management principles.
Experience in data collection, data flow management, data quality, and data standards from varied group of data sets like Value Set Authority Center (VSAC) and Fast Healthcare Interoperability Resources (FHIR).
Experience in retrieving and assembling data from multiple sources/formats, creating derived datasets, and implementing data specifications to create OCCS datasets to be used in research.
Basic understanding of python, SQL, MySQL, Oracle, PostgreSQL, MongoDB, XML/JSON, or other languages/tools
Experience with data modeling, metadata management, and data profiling.
Knowledge of data warehousing and business intelligence concepts.
Demonstrated experience in working with other organizations to review and advise on a wide range of specific value-set content issues referenced in MU regulations.
Demonstrated experience in providing dCQMs and eCQMs-related support.
Program, map, and process medical vocabularies within the UMLS Metathesaurus and Value Set Authority Center (VSAC).
Design, build, and maintain automated application pipelines for clinical research data.
Modernize legacy on-premises infrastructure by migrating workflows to AWS cloud systems.
Develop services implementing FAIR principles (Findable, Accessible, Interoperable, Reusable) for biomedical datasets.
Collaborate in a team-based, Agile sprint environment to deliver stable, highly secure software.
Develop and maintain data standards for biomedical applications.
Support value set curation and enhancement for CMS and NIH healthcare systems.
Automate ETL processes for terminology updates in tools like VSAC and RxNorm.
Develop and implement a comprehensive data governance framework.
Oversee the creation and maintenance of data standards, metadata repositories, and data dictionaries.
Lead data quality initiatives, including data profiling, cleansing, and validation.
Design and implement complex data mapping and transformation logic to ensure data consistency across systems.
Collaborate with data architects, database administrators, and application developers to optimize data models and structures.
Provide technical leadership and mentorship to the data standards team.
Utilize data profiling and analysis tools to identify and resolve data quality issues.
Develop data quality reports and metrics to monitor data health.
Stay up-to-date with industry trends in data management and standards.
Improve usability and ranking in search engines and provide very good support for mobile technology which is increasingly needed for field data capture.
Maintain and implement the MEDIT system, which will remove the dependency on Cold-Fusion and move to modern technology, reduce maintenance effort, improve security, and migrate to the cloud platform.
Migrate pre-release and ETL tools from Oracle to Postgres DB.
Support the value set authoring and expansion processes in Value Set Authority Center (VSAC) and Fast Healthcare Interoperability Resources (FHIR).
Import new code system data to support the curation of Centers for Medicare & Medicaid Services (CMS) C-CDA (Consolidated-Clinical Document Architecture) value sets in VSAC.
Update Unified Medical Language System content to provide the user community with updated terminology.
Refresh the UMLS Terminology Services to replace legacy technology with modern technology.
Provide additional API for value sets retrieval from VSAC repositories and support access to various value sets in a standard manner, with the data format conforming to FHIR specification – an HL7 standard.
Automate and maintain RxNorm - Source Inversion – Insertion.