Lead Data Governance Engineer - Local to Bay Area, CA Only

Position Overview Position: Lead Data Governance Engineer Duration: 12 Months Location: Bay Area, California Work Location: Bay Area, California (candidates must be local to the Bay Area and available to work on-site as required) Client is seeking an experienced Product Owner Expert/Lead, Data Governance Tech Enablement to drive the adoption and maturity of enterprise data governance for a customer in the Bay Area, California. This role is heavily weighted toward governance: the majority of time (approximately 70‑80%) will focus on metadata management, business glossary, data lineage, data quality, critical data elements, data stewardship, and the governance operating model, including hands‑on support for Ataccama implementation and adoption. The remaining time (approximately 20‑30%) involves coordinating with data engineering teams to ensure pipelines, integrations, and reporting solutions align with governance standards. The ideal candidate bridges business and technical stakeholders to build durable governance practices across the enterprise. Responsibilities Partner with business and technical stakeholders to define, implement, and promote enterprise data governance policies, standards, and best practices. Support metadata management, business glossary development, data lineage, data cataloging, and data classification activities across enterprise data domains. Support the implementation and adoption of enterprise data governance platforms such as Ataccama, Collibra, or similar tools. Facilitate data quality assessments, issue identification, root cause analysis, and remediation planning for critical data assets. Support governance processes for master data, reference data, metadata, and critical data elements. Develop governance documentation, standards, operating procedures, and data stewardship guidance. Support governance councils, working sessions, stakeholder communications, and continuous improvement initiatives. Collaborate with Data Owners, Data Stewards, Privacy, Security, and Engineering teams to improve data quality, governance, and compliance. Assist with regulatory compliance, audit readiness, data retention, privacy, and risk management initiatives. Collaborate with data engineering teams to ensure data pipelines, integrations, and reporting solutions align with governance standards and enterprise policies. Qualifications – Required 8+ years of experience in Data Governance, Data Management, Metadata Management, Data Quality, or Enterprise Data Management. Experience implementing enterprise data governance frameworks, policies, standards, and stewardship processes. Experience working with metadata management and data catalog tools such as Ataccama, Collibra, Alation, or comparable platforms. Understanding of data quality, metadata, lineage, business glossary, master data management, and reference data concepts. Experience collaborating with Data Owners, Data Stewards, Privacy, Security, Architecture, and Engineering teams. Working knowledge of SQL and data analysis techniques to support data quality and governance activities. Strong communication and stakeholder management skills with the ability to bridge business and technical teams. Must be local to the Bay Area, California, and available to work on-site as required. Qualifications – Preferred Experience supporting enterprise governance initiatives within utilities or other regulated industries. Familiarity with cloud data platforms such as Snowflake, AWS, Azure, or Google Cloud. Knowledge of DAMA DMBOK, DCAM, or other data governance frameworks. Experience with regulatory compliance, privacy, and audit initiatives. CDMP or other data governance certifications. Tools And Technologies Governance Platforms: Collibra, Alation Data Quality: Ataccama DQ, Informatica DQ, Great Expectations Metadata & Lineage: Business Glossary, Data Catalog, Data Lineage Cloud/Data Platforms: Snowflake, AWS, Azure, Google Cloud Languages: SQL, Python (for analysis and profiling) Reporting: Power BI, Tableau (preferred) #J-18808-Ljbffr