Archived listing. The details below describe a past opening.
Required Skills & Experience
Hands-on implementation/configuration of GCP Dataplex / Dataplex Universal Catalog Strong BigQuery experience Professional experience with the broader Google Cloud data platform Enterprise metadata management Data catalog implementation and management Hands-on data lineage implementation within GCP Experience defining and implementing data-governance strategy Business glossary development and management Establishing data ownership and data stewardship structures Data classification and sensitive-data governance Data-access governance policies and controls Data modeling and integration of governance requirements into GCP architecture Experience implementing governance across a medium-to-large enterprise or major business domain, not solely a small application or POC Ability to work across technical, architecture, governance, and business stakeholder groups
Nice to Have Skills & Experience
Medicaid experience Healthcare, HHS, or public-health data State/local government modernization Highly regulated or sensitive-data environments Legacy/mainframe modernization Medallion architecture and bronze/silver/gold data models
Job Description
We are seeking a hands-on GCP Data Governance Architect to support a large-scale state modernization initiative currently in discovery and moving into delivery. The project involves modernizing legacy/mainframe systems while redesigning underlying business processes, data models, metadata, and governance capabilities rather than simply migrating existing systems. The ideal candidate combines enterprise data-governance strategy with hands-on Google Cloud implementation, particularly GCP Dataplex / Dataplex Universal Catalog, BigQuery, metadata management, data cataloging, and data lineage.
Key Responsibilities
Define the data-governance and metadata architecture during discovery and carry it into delivery. Configure and implement Dataplex / Google-native catalog capabilities. Integrate governance capabilities with BigQuery and other GCP data services. Establish processes for capturing and maintaining business and technical metadata. Implement end-to-end data lineage and traceability. Establish business glossaries, definitions, data owners, and data stewards. Implement data classification and access-governance processes. Establish repeatable standards for cataloging and onboarding new data assets. Integrate governance requirements into redesigned enterprise data models. Document governance architecture, metadata standards, lineage, classifications, ownership, and access requirements. Help scale governance patterns from discovery into a large enterprise delivery environment.