Data Governance Architect for Enterprise Data Architecture

Edwards Lifesciences

Irvine (CA)

On-site

USD 121,000 - 171,000

Full time

14 days+

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Job summary

Edwards Lifesciences is seeking a Data Governance Architect in California to design and implement enterprise data governance architecture, standards, and integration patterns that support data management objectives. You will translate business requirements into scalable architectural solutions and lead governance initiatives across the enterprise.

You will partner with data engineering, platform, and business teams to embed data quality, metadata, lineage, and access controls, while advocating

Qualifications

  • Bachelor's Degree in a related field with ten years of IT experience.
  • Experience in data architecture, data management, and data governance.
  • Familiarity with data catalog, lineage, data quality, and CI/CD tools.

Responsibilities

  • Translate business and data governance requirements into repeatable architecture patterns and design strategies for data management initiatives.
  • Define and maintain data governance architecture including data quality, metadata, lineage, access management, and stewardship capabilities.
  • Collaborate with project teams to ensure governance solutions align with enterprise architecture standards and strategic technology direction.
  • Provide expert guidance on governance controls, data quality, metadata management, and architecture lifecycle.

Skills

Data governance
Data architecture
Stakeholder management
Cloud platforms
Regulated environments

Education

Bachelor's Degree

Tools

Secoda
Snowflake Horizon
Unity Catalog
Soda
GitLab
Airflow

Job description

Edwards Lifesciences is seeking a Data Governance Architect in California to design and implement enterprise data governance architecture, standards, and integration patterns that support data management objectives. You will translate business requirements into scalable architectural solutions and lead governance initiatives across the enterprise.

You will partner with data engineering, platform, and business teams to embed data quality, metadata, lineage, and access controls, while advocating

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