Enterprise Data Architect

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, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

This position works out of our Maple Grove, MN location in the Electrophysiology Medical Device division. In Abbott’s Electrophysiology (EP) business, we’re advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives.

We are seeking an Enterprise Data Architect to lead the design, governance, and optimization of enterprise data platforms, integrations, and data assets that support critical business applications and strategic decision-making. This role is responsible for establishing enterprise data architecture standards, advancing data governance and lifecycle management practices, and ensuring data is secure, reliable, scalable, and accessible across the organization.

Partnering closely with business and technology stakeholders, the Enterprise Data Architect will drive data strategy, platform modernization, automation, and continuous improvement to deliver trusted data solutions that support operational excellence and business growth.

• Lead the design, development, and optimization of enterprise data architecture, integration frameworks, databases, and data platforms to deliver scalable, reliable business solutions.
• Design and implement data pipelines, integrations, migrations, transformations, and automation capabilities that improve efficiency, performance, and data accessibility.
• Establish and maintain architectural standards, development methodologies, and best practices that promote scalability, consistency, maintainability, and operational excellence.
• Lead enterprise data governance and Data Lifecycle Management activities, including data quality, stewardship, retention, auditing, validation, and change control.
• Partner with business and technology stakeholders to define and implement data standards that improve data integrity, consistency, and trust across enterprise systems.
• Design, support, and optimize the data platforms, integrations, and data assets that enable critical business applications and digital solutions.
• Administer Support enterprise data platforms, Microsoft Fabric environments, Azure resources, databases, gateways, and related infrastructure.
• Drive platform modernization, capacity planning, performance optimization, disaster recovery, and business continuity initiatives to ensure secure and reliable operations.
• Ensure compliance with security, access management, and data protection requirements through effective governance and monitoring practices.
• Maintain technical documentation and development standards for deployment, version control, change management, and operational support.
• Mentor team members and stakeholders on data management, governance, and platform best practices.

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline, or an equivalent combination of education and experience.
• Minimum 5 years of progressively responsible experience in data architecture, data engineering, analytics, database administration, or related technical disciplines.
• Experience designing and supporting enterprise data architectures, integration frameworks, and scalable data platforms.
• Experience developing enterprise-scale solutions utilizing Microsoft Fabric, Power BI, Azure Data Factory, Azure SQL Server or related cloud data technologies.
• Experience developing and maintaining data pipelines, ETL processes, integrations, and automation solutions.
• Strong understanding of data governance, data quality management, master data concepts and Data Lifecycle Management principles.
• Experience supporting enterprise data platforms and supporting highly available, secure, and data solutions.
• Knowledge of security, access management, change control, disaster recovery, and business continuity best practices.
• Ability to work effectively in a highly matrixed and geographically diverse business environment.
• Strong analytical, problem-solving, organizational, and project management skills.
• Strong verbal and written communication skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Demonstrated ability to lead cross-functional initiatives, influence stakeholders, and drive organizational change.
• Ability to manage multiple priorities, adapt to changing business needs, and deliver high-quality results within established timelines.

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