Join AECOM, a global leader in infrastructure consulting, as we strive to leverage data as a pivotal asset that enhances decision-making, optimizes operations, and catalyzes digital transformation. Our Data Strategy & Governance Office is integral to promoting data accountability, transparency, and quality across our organization. We are embarking on an investment in a comprehensive enterprise data governance and cataloging platform, and we are on the lookout for a skilled technical specialist who can build and manage this vital capability.In this hands-on role, you will be responsible for the implementation and operation of our enterprise data governance platforms. Ideal candidates will possess direct experience in configuring, integrating, and administering catalog or discovery platforms such as Alation, Collibra, BigID, or similar. Tasks will include setting up connectors, automating metadata ingestion, enabling data lineage, and troubleshooting platform issues.Role OverviewAs the Data Governance Platform Specialist, you will be a vital individual contributor handling the installation, configuration, integration, and ongoing support of the enterprise data governance platform. Your focus will be on the technical aspects of data governance, including metadata ingestion, catalog configuration, data profiling, data quality automation, lineage enablement, and platform support. Collaborating closely with Data Governance leadership, data engineering and security teams, cloud architects, and data stewards will be essential to ensure effective integration of governance tools within our enterprise data ecosystem.This position offers a flexible hybrid work schedule, allowing for a mix of in-office presence and virtual work from either Houston or Dallas, TX.Key Responsibilities:Governance Platform Implementation & Operations: Install, configure, and maintain the enterprise data governance and cataloging platform, including environment setup, upgrades, patching, and ongoing maintenance.Configure metadata models, asset types, relationships, workflows, and role-based permission structures within the governance platform.Monitor platform performance, availability, and reliability, and troubleshoot technical issues related to configuration, integrations, and connectivity.Metadata Ingestion, ETL & Profiling:Design and implement automated metadata ingestion pipelines using native connectors, APIs, and ETL/ELT frameworks.Conduct technical data profiling using SQL and governance platform capabilities, leveraging ETL processes for automation and integration to support data quality and readiness initiatives.Enable and support data quality automation in collaboration with data engineering and governance teams.Integration, Lineage & Classification: Integrate the governance platform with existing data systems, ensuring thorough data lineage tracking and classification.
Mar 16, 2026