Database Architect

Required Qualifications: 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 languages such as Python.

Preferred Qualifications: 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.