Senior Data Governance Architect for Enterprise Data

Edwards Lifesciences Gruppe; Irvine (CA); On-site; USD 121,000 - 171,000; Full time

Job summary

Edwards Lifesciences seeks a Data Governance Architect to design, implement, and govern enterprise data management architecture. You will translate business needs into scalable governance patterns, establish metadata and data quality practices, and guide cross-functional teams to ensure compliant, high-quality data assets.

The role emphasizes collaboration with data engineering and IT, evaluating emerging governance technologies, and promoting standardized methodologies across the enterprise.

Qualifications

• Bachelor's degree in a relevant field with at least 10 years IT experience.
• Experience in data governance, data management, and data architecture.
• Familiarity with data catalog, lineage, data quality, and CI/CD tools.

Responsibilities

• Translate business requirements into scalable data governance architecture patterns and standards.
• Define and maintain governance architecture including data quality, metadata, lineage, access, and stewardship.
• Collaborate with project teams to align governance solutions with enterprise standards and strategy.
• Develop recommendations to support scalability and interoperability across the data ecosystem.
• Drive integration of governance capabilities across platforms, data flows, and data assets.
• Monitor effectiveness of governance solutions and propose improvements.
• Provide technical leadership and enablement across teams on governance practices.

Skills

Data governance

Data architecture

Stakeholder management

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Natural Sciences and Mathematics or related discipline

Tools

Secoda

Snowflake Horizon

Unity Catalog

Soda

GitLab

Airflow

Job description

Edwards Lifesciences seeks a Data Governance Architect to design, implement, and govern enterprise data management architecture. You will translate business needs into scalable governance patterns, establish metadata and data quality practices, and guide cross-functional teams to ensure compliant, high-quality data assets.

The role emphasizes collaboration with data engineering and IT, evaluating emerging governance technologies, and promoting standardized methodologies across the enterprise.