Database Architect

Abbott; Saint Paul (MN); On-site; USD 110,000 - 150,000; Full time

Job summary

Abbott's Electrophysiology (EP) R&D organization seeks a Database Architect to lead data strategy, governance, and operations across the product lifecycle.

You will design scalable data platforms using Azure, Databricks, and cloud technologies, ensure secure, compliant datasets, and drive data labeling for AI/ML.

Collaborating with Clinical, IT, Engineering, physicians and vendors, you will enable AI/ML innovation and support FDA/GxP/HIPAA compliant data practices in cardiac care.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Health Informatics, Biomedical Engineering, or related field.
• 5+ years of experience in data management, data operations, data engineering, or clinical data environments.
• Experience with large clinical, imaging, or healthcare datasets.
• Knowledge of data governance, metadata management, data quality, and cloud platforms.
• Proficiency in SQL and exposure to Python.
• Strong communication, project management, and stakeholder management skills.

Responsibilities

• Develop and enhance scalable data platforms using Azure, Databricks, and cloud technologies.
• Oversee data acquisition, ingestion, quality, governance, cataloging, lineage, and lifecycle management.
• Ensure datasets are secure, compliant, audit-ready, and accessible for R&D and AI/ML teams.
• Partner with Clinical, IT, Engineering, physicians, and external vendors to support data initiatives.
• Drive data labeling, annotation, and dataset preparation for AI/ML development and validation.
• Establish governance processes aligned with FDA, GxP, HIPAA, GDPR, and corporate policies.
• Manage stakeholders, vendors, project timelines, and data operations activities.

Skills

SQL

Python

Data governance

Data quality

Stakeholder management

Project management

Education

Bachelor's degree in Computer Science, Engineering, Health Informatics, Biomedical Engineering, or related field

Tools

Azure

Databricks

Microsoft Purview

Collibra

Alation

Job description

Position Summary

Abbott's Electrophysiology (EP) R&D organization generates an expanding volume of clinical, imaging, mapping, and outcomes data that serves as the foundation for next-Generation AI/ML solutions. To accelerate innovation, we are seeking a Data Operations & R&D Data Management Manager to lead the strategy, processes, and infrastructure that enable secure, scalable, and compliant use of data across the product development lifecycle.

Title

Database Architect

Location

St. Paul, MN

Duration

12 Month

100% On-Site

100% On-Site

Position Summary

Abbott's Electrophysiology (EP) R&D organization generates an expanding volume of clinical, imaging, mapping, and outcomes data that serves as the foundation for next-Generation AI/ML solutions. To accelerate innovation, we are seeking a Data Operations & R&D Data Management Manager to lead the strategy, processes, and infrastructure that enable secure, scalable, and compliant use of data across the product development lifecycle.

Overview

Lead the strategy, governance, and operations of clinical, imaging, mapping, and outcomes data to support AI/ML innovation within Abbott's Electrophysiology R&D organization.

Key Responsibilities

• Develop and enhance scalable data platforms using Azure, Databricks, and cloud technologies.
• Oversee data acquisition, ingestion, quality, governance, cataloging, lineage, and lifecycle management.
• Ensure datasets are secure, compliant, audit-ready, and accessible for R&D and AI/ML teams.
• Partner with Clinical, IT, Engineering, physicians, and external vendors to support data initiatives.
• Drive data labeling, annotation, and dataset preparation for AI/ML development and validation.
• Establish governance processes aligned with FDA, GxP, HIPAA, GDPR, and corporate policies.
• Manage stakeholders, vendors, project timelines, and data operations activities.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Health Informatics, Biomedical Engineering, or related field.
• 5+ years of experience in data management, data operations, data engineering, or clinical data environments.
• Experience with large clinical, imaging, or healthcare datasets.
• Knowledge of data governance, metadata management, data quality, and cloud platforms.
• Proficiency in SQL and exposure to Python.
• Strong communication, project management, and stakeholder management skills.

Preferred Qualifications

• Experience in medical devices, healthcare, life sciences, or regulated environments.
• Familiarity with EP, cardiac mapping, imaging data, DICOM, HL7, and FHIR.
• Experience supporting AI/ML, MLOps, data annotation, or model governance.
• Knowledge of Microsoft Purview, Collibra, Alation, and FDA/21 CFR Part 11 compliance.

Impact

Enable trusted, high-quality data access, accelerate AI/ML innovation, improve compliance and efficiency, and support the development of next-generation cardiac care technologies.

Consultants Eligible Benefits Upon Waiting Period

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account (for High-Deductible Health Plans)
• Flexible Spending Accounts (Health, Limited Purpose, Dependent Care, Commuter Parking and Commuter Transit)
• Supplemental Life Insurance
• Short Term Disability (coverage varies by state)
• Long Term Disability
• Critical Illness, Hospital coverage, Accident Insurance
• MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance
• 401(k)

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines.

Working together, Abbott and Talent Solutions partner to deliver top talent for contingent roles at Abbott, building better and healthier lives. Abbott believes all employees are essential to creating life-changing breakthroughs, performing key duties to create life-changing breakthroughs.