Cloud Data Governance

• Cloud Data Governance & Catalog (CDGC) + Metadata Command Center
• Catalog sources and scanners
• End-to-end data lineage
• Technical and business metadata management
• Data classification and curation
• Data Marketplace
• Cloud Data Quality (CDQ) / Informatica Data Quality (IDQ)
• Data profiling
• Rule specifications and quality rule definition
• Quality scorecards
• AXON Data Governance
• Business glossary
• Understanding of the AXON-to-CDGC modernization path
• Integration for master data and reference data governance

2. Databricks Lakehouse Governance

• Desirable: Databricks Unity Catalog
• Cataloging of Delta Lake tables in CDGC
• End-to-end lineage
• Classification of Lakehouse assets
• Governance alignment between Unity Catalog and CDGC
• Data quality monitoring and policy enforcement across Lakehouse datasets

3. AI-Assisted Governance — CLAIRE

• Assisted generation of data quality rules
• Metadata classification recommendations
• Automatic generation of business glossary descriptions and aliases
• Conversational interface for data stewardship
• CLAIRE Agents for data lineage and governance

4. Cloud-Agnostic Technologies — Complementary

• Microsoft Purview
• Microsoft Fabric
• AWS
• AWS Glue Data Catalog
• AWS Lake Formation
• Amazon Redshift

5. Privacy & Complementary Governance Tools

• Desirable: OneTrust
• PII classification
• Data privacy governance

6. Standards & Frameworks

• Data management knowledge areas
• Experience working in regulated environments, including:
• GDPR
• Data privacy and regulatory compliance

CERTIFICATIONS

• Informatica Cloud Data Governance and Catalog — Professional Certification (ICP) — Core to the role
• Databricks Certification — Unity Catalog / Data Governance — Desirable

KEY RESPONSIBILITIES

• Implement, configure, and maintain the Informatica CDGC and AXON governance platform.
• Provide data governance support, including data standards, governance frameworks, quality frameworks, and data quality rule creation.
• Configure and manage quality rules, policies, monitoring, and data stewardship workflows in CDQ/IDQ.
• Integrate the enterprise catalog with source systems, including databases, ERP, CRM, cloud storage, and Databricks, using catalog sources and scanners.
• Govern the Databricks Lakehouse by aligning Unity Catalog lineage, classification, and governance requirements with CDGC.
• Collaborate with data owners, data stewards, and business stakeholders to define data standards, governance policies, and quality requirements.
• Ensure traceability, end-to-end lineage, metadata accuracy, and regulatory compliance across data assets.
• Apply CLAIRE AI capabilities to accelerate data quality rule definition, metadata classification, business glossary development, and governance documentation.
• Support continuous data quality monitoring, scorecards, and policy enforcement across governed data assets.