Data Governance Architect: Quality & Metadata

International Business Machines Corporation; Denver (CO); Remote; USD 120,000 - 170,000; Full time

Job summary

IBM Consulting is seeking a Data Governance Systems Designer to define and operationalize governance for data products within a large modernization program. You will shape data definitions, ownership, quality rules, and metadata to ensure a trusted, auditable data platform.

Responsibilities include defining glossaries, documenting lineage, and enforcing policies across AWS/Databricks, with tools like Collibra.

Qualifications

• Must have hands-on data governance, analysis, or management experience in large enterprises.
• Experience applying governance in complex environments with industry-standard tools.
• Strong SQL and data profiling skills; able to model data.
• Excellent stakeholder facilitation, documentation, and cross-functional collaboration.

Responsibilities

• Define and maintain business glossary, data elements, and ownership models.
• Document data lineage, metadata, and classification for data products.
• Design data quality rules and monitoring with product owners and engineers.
• Align logical data models with governance standards (Erwin/ER Studio).
• Apply governance policies in Databricks Unity Catalog and Collibra/alternatives.
• Run governance workshops and drive issue-resolution with stakeholders.
• Support compliance, privacy, and audit needs and report governance metrics.
• Develop metadata management repositories and data-quality dashboards.

Skills

Data governance

Data analysis

Stakeholder facilitation

SQL & data profiling

Tools

Collibra

Alation

Microsoft Purview

Databricks Unity Catalog

AWS data platforms

Erwin / ER Studio

Job description

IBM Consulting is seeking a Data Governance Systems Designer to define and operationalize governance for data products within a large modernization program. You will shape data definitions, ownership, quality rules, and metadata to ensure a trusted, auditable data platform.

Responsibilities include defining glossaries, documenting lineage, and enforcing policies across AWS/Databricks, with tools like Collibra.