Data Quality Engineer
Posted
- 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
- 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
- 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
- Microsoft Purview
- Microsoft Fabric
- AWS
- AWS Glue Data Catalog
- AWS Lake Formation
- Amazon Redshift
- Desirable: OneTrust
- PII classification
- Data privacy governance
- Data management knowledge areas
- Experience working in regulated environments, including:
- GDPR
- Data privacy and regulatory compliance
- Informatica Cloud Data Governance and Catalog — Professional Certification (ICP) — Core to the role
- Databricks Certification — Unity Catalog / Data Governance — Desirable
- 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.