- 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.

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📌 Data Quality Engineer (México)
🏢 Pyramid Consulting
📍 México