Remote Data Governance Architect

International Business Machines Corporation; Chicago (IL); À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k)

Paid time off

Training and certification assistance

Résumé du poste

IBM Consulting is seeking a Data Governance Systems Designer to define and operationalize governance for data products across large modernization programs. You will specify data definitions, ownership, quality rules, and metadata to ensure trust and auditable platforms.

You will document lineage, metadata, and classification across AWS/Databricks and SAP data, and implement data quality and monitoring with product owners and engineers.

Qualifications

• Bachelor's degree required.
• Willingness to travel 4 days per week.
• Proven governance experience in complex enterprise environments.

Responsabilités

• Define and maintain business glossary, data elements, ownership, and steward models.
• Document data lineage, metadata, and classification for data products on AWS/Databricks and SAP data.
• Design data quality rules, thresholds, and monitoring with data product owners and engineers.
• Align logical models with governance standards (Erwin/ER Studio).
• Apply governance policies in Databricks Unity Catalog and Collibra if adopted.
• Run governance workshops and establish stewardship forums with stakeholders.
• Support compliance, privacy, and audit needs; report governance metrics.
• Design and implement metadata management repositories and data quality dashboards.
• Collaborate with technical teams to implement data quality rules and automate monitoring.

Connaissances

Data governance

Data analysis

Data management

SQL

Collibra

Databricks Unity Catalog

Erwin/ER Studio

Formation

Bachelor's Degree

Outils

Collibra

Alation

Microsoft Purview

Databricks Unity Catalog

AWS data platforms

Description du poste

IBM Consulting is seeking a Data Governance Systems Designer to define and operationalize governance for data products across large modernization programs. You will specify data definitions, ownership, quality rules, and metadata to ensure trust and auditable platforms.

You will document lineage, metadata, and classification across AWS/Databricks and SAP data, and implement data quality and monitoring with product owners and engineers.