Lead Data Governance Engineer in San Mateo

Energy Jobline
San Mateo, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Mateo, United States of America

Tech stack

Data analysis
Data Governance
Metadata
Meta-Data Management
Reference Data
Standard Sql
Enterprise Data Management
Collibra
Data Management

Requirements

  • 8+ years of experience in Data Governance, Data Management, Metadata Management, Data Quality, or Enterprise Data Management \n

  • .Experience implementing enterprise data governance frameworks, policies, standards, and stewardship processes \n

  • .Experience working with metadata management and data catalog tools such as Ataccama, Collibra, Alation, or comparable platforms \n

  • .Understanding of data quality, metadata, lineage, business glossary, master data management, and reference data concepts \n

  • .Experience collaborating with Data Owners, Data Stewards, Privacy, Security, Architecture, and Engineering teams \n

  • .Working knowledge of SQL and data analysis techniques to support data quality and governance activities \n

  • .Strong communication and stakeholder management skills with the ability to bridge business and technical teams

Benefits & conditions

n

)Experience: 10+ yr

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sSkills: Collibra, Alation, Ataccama, Ataccama DQ, Informatica Data Quality (IDQ), Great Expectations, Business Glossary, Data Catalog, Data Lineage, Metadata Management, Data Governance, Data Quality, Master Data Management (MDM), Reference Data Management, Data Stewardship, Enterprise Data Management (EDM), SQL, Python, Snowflake, AWS, Microsoft Azure, Google Cloud Platform (GCP), Power BI, Tableau, DAMA DMBOK, DCAM, Regulatory Compliance, Data Privacy, Audit Readiness

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.Duration: 6+ Month

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sResponsibilities

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  • :Partner with business and technical stakeholders to define, implement, and promote enterprise data governance policies, standards, and best practices \n

  • .Support metadata management, business glossary development, data lineage, data cataloging, and data classification activities across enterprise data domains \n

  • .Support the implementation and adoption of enterprise data governance platforms such as Ataccama, Collibra, or similar tools \n

  • .Facilitate data quality assessments, issue identification, root cause analysis, and remediation planning for critical data assets \n

  • .Support governance processes for master data, reference data, metadata, and critical data elements \n

  • .Develop governance documentation, standards, operating procedures, and data stewardship guidance \n

  • .Support governance councils, working sessions, stakeholder communications, and continuous improvement initiatives \n

  • .Collaborate with Data Owners, Data Stewards, Privacy, Security, and Engineering teams to improve data quality, governance, and compliance \n

  • .Assist with regulatory compliance, audit readiness, data retention, privacy, and risk management initiatives \n

  • .Collaborate with data engineering teams to ensure data pipelines, integrations, and reporting solutions align with governance standards and enterprise policie \n

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