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.
Responsibilities
• Design and implement comprehensive data governance frameworks across data warehouse and Databricks platforms to ensure consistent standards policies and controls that enable trusted analytics and responsible data driven decisions across the organization.
• Define and maintain detailed data lineage models by configuring and optimizing Informatica EDC and CDGC tools to provide end to end visibility of data flows transformations and usage patterns for regulatory reporting and impact analysis.
• Configure and administer Collibra environments to establish an enterprise data catalog business glossary and stewardship workflows that simplify data discovery ownership clarity and collaboration among technical and business stakeholders.
• Develop and maintain Axon and HC Data Management solutions to capture data governance metadata critical data element definitions and data quality rules that support consistent data usage and reduce operational risks in downstream applications.
• Collaborate with data engineering teams working on Databricks and data warehouse pipelines to embed governance controls metadata capture and lineage tracking mechanisms directly into ingestion and transformation processes.
• Create and refine standards for data quality monitoring using Informatica tooling to proactively identify anomalies measure data health and drive remediation actions that protect reporting accuracy and customer outcomes.
• Engage with business partners includin