Data Quality Engineer (Ciudad de México)

Data Quality Engineer (Ciudad de México)

17 sep
|
Pyramid Consulting
|
Ciudad de México

17 sep

Pyramid Consulting

Ciudad de México

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 (Ciudad de México)
🏢 Pyramid Consulting
📍 Ciudad de México

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