Informatica CDGC

About the Role

This hybrid day shift role focuses on establishing robust AI-driven data governance and lineage practices for enterprise data platforms using warehouse technologies Databricks and Informatica tools. The specialist will design and operationalize frameworks that ensure trusted data, regulatory compliance, and high-quality information flow across business functions, supporting transparent decision-making and enabling sustainable value creation for clients and society through responsible data use.

Key Responsibilities

• Design and implement comprehensive data governance frameworks across data warehouse and Databricks platforms to ensure consistent standards, policies, and controls.
• Define and maintain detailed data lineage models by configuring and optimizing Informatica EDC and CDGC tools.
• Configure and administer Collibra environments to establish an enterprise data catalog, business glossary, and stewardship workflows.
• Develop and maintain Axon and HC Data Management solutions to capture data governance metadata, critical data element definitions, and data quality rules.
• Collaborate with data engineering teams working on Databricks and data warehouse pipelines to embed governance controls, metadata capture, and lineage tracking.
• Create and refine standards for data quality monitoring using Informatica tooling.
• Engage with business partners to translate regulatory compliance and operational requirements into practical data governance controls and lineage documentation.
• Develop clear procedures, playbooks, and guidance documents for data governance processes and stewardship responsibilities.
• Coordinate periodic assessments and audits of data governance and lineage implementations to verify adherence and recommend improvements.
• Drive integration of Collibra, Axon, EDC, and CDGC metadata repositories with data warehouse and Databricks infrastructures.
• Support incident analysis and root cause investigations by leveraging detailed lineage views.
• Provide guidance and enablement to project teams on best practices for metadata management, tagging standards, and stewardship models.
• Contribute to the evolution of data governance strategies by monitoring industry trends and emerging AI data management practices.

Requirements & Tech Stack

• Databricks
• Informatica EDC
• Informatica CDGC
• Collibra
• Axon
• HC Data Management
• Data Warehouse technologies
• AI-driven data governance
• Data lineage practices
• Data catalog
• Business glossary
• Stewardship workflows
• Data governance metadata
• Critical data element definitions
• Data quality rules
• Data quality monitoring

Qualifications

• Deep hands-on experience in designing and operating enterprise data warehouses combined with strong Databricks skills.
• Advanced proficiency with Informatica platforms, including HC Data Management, core Informatica services, Axon, EDC, and CDGC.
• Practical expertise in Collibra configuration and administration.
• Strong understanding of data governance principles, data lineage modeling, and regulatory expectations.
• Effective communication and stakeholder engagement capabilities.
• Analytical and problem-solving strengths.

Certifications

• Required/Preferred: Informatica Data Governance or Data Quality certification.
• Required/Preferred: Collibra Ranger or similar data governance credential.