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# Clinical Cloud Data Architect in Saint Paul

- **Company:** Energy Jobline
- **Location:** Saint Paul, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Health Informatics, Cloud Database, Information Systems, Computer Programming, Information Engineering, Data Governance, Dicom, Information Lifecycle Management, Python (Programming Language), Machine Learning, Meta-Data Management, Standard Sql, DataOps, Enterprise Data Management, Scripting, Cloud Platform System, Fast Healthcare Interoperability Resources, Information Technology, Collibra, Health Level Seven International, Data Management, Machine Learning Operations, GXP, Databricks
- **Published:** September 30, 2026
- **Apply:** https://www.energyjobline.com/job/clinical-cloud-data-architect-saint-paul-31736077

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, Health Informatics, Biomedical Engineering, or a related discipline.
 * 5+ years of experience in data management, data operations, data engineering, clinical data support, or related roles.
 * Demonstrated experience managing large and diverse datasets, including clinical, imaging, mapping, or time-series data.
 * Experience implementing data governance, metadata management, cataloging, and data quality processes.
 * Experience coordinating data transfers, data lifecycle activities, or multi-stakeholder data initiatives.
 * Knowledge of cloud-based data platforms such as Azure, Databricks, or comparable environments.
 * Strong understanding of data privacy, security, compliance, and regulated industry requirements.
 * Excellent communication, stakeholder management, and cross-functional leadership skills.
 * Strong organizational, project management, and execution capabilities.
 * Working knowledge of SQL and experience with scripting or programming such as Python., * Experience within medical devices, healthcare, life sciences, or other regulated R&D environments.
 * Familiarity with electrophysiology, cardiac mapping, and clinical imaging data.
 * Knowledge of clinical and imaging standards including DICOM, HL7, and FHIR.
 * Experience supporting AI/ML development through dataset preparation, annotation, validation, MLOps, or model governance activities.
 * Experience with data governance tools such as Microsoft Purview, Collibra, or Alation.
 * Knowledge of FDA regulations, 21 CFR Part 11, GxP requirements, HIPAA, and GDPR.
 * Experience building or modernizing enterprise data management platforms and processes.

Experience managing external data providers, labeling vendors, and strategic data partnerships.