Principal IT Data Architect - Snowflake, Data Governance & AI Platforms

About the role

Medtronic is looking for a Principal IT Data Architect to define and lead its enterprise data architecture strategy, ensuring data is secure, reliable, scalable and accessible for business operations, analytics and AI initiatives. The role designs data solutions, sets data standards and governance practices, and partners with business and technology teams. It focuses on Snowflake, data governance and AI platforms.

Key responsibilities

• Define and maintain the enterprise data architecture strategy, standards and roadmap, and design conceptual, logical and physical data models.
• Lead the architecture of enterprise cloud data platforms, including Snowflake, modern data lakehouse architectures, semantic layers and data consumption frameworks.
• Drive adoption of platform capabilities for analytics, AI and business intelligence, and design data integration frameworks and ETL/ELT, API and event-driven standards.
• Establish data governance, metadata management, data quality and master data management, and ensure data lineage, traceability and compliance.
• Partner with business, analytics and data science teams, and act as a trusted advisor to senior leaders on data architecture decisions.
• Mentor architects, engineers and technical teams, and collaborate across global teams.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems or a related field; Master's degree in a related technical discipline.
• 14+ years of experience in Data Architecture, Data Engineering or Enterprise Architecture, including 5+ years designing Snowflake-based solutions.
• Experience in global, matrixed organizations and with senior leadership.
• Relevant certifications such as SnowPro Advanced, Azure Data Engineer, TOGAF or equivalent.

Required skills

• Advanced Snowflake expertise, including Snowflake Cortex AI, Semantic Views or agentic AI solutions.
• Data modeling, data warehousing, lakehouse architectures and cloud platforms (Azure preferred; AWS or GCP also considered).
• Databricks, Informatica Cloud, Coalesce, dbt or Airflow.
• Experience with Salesforce, CPQ, commercial systems and marketing technology platforms.
• Support for AI/ML or Generative AI solutions in production, and experience in healthcare, medical devices, life sciences or regulated industries.

What we offer

• A competitive salary and a flexible benefits package.
• Eligibility for the Medtronic Incentive Plan (MIP).