Lead Data Engineer – Governance

• Design, implement, and oversee the enterprise data governance strategy
• Work in close partnership with the Ontology/Semantic Librarian and Data Engineering teams
• Lead the development and enforcement of data governance policies, standards, and best practices
• Collaborate with Data Engineering teams to implement governance in federated querying, GraphQL interfaces, vector databases, and RAG pipelines
• Define and maintain enterprise data stewardship processes
• Establish governance frameworks for data security, privacy, and compliance
• Design and implement data quality, metadata, and lineage strategies
• Contribute to the internal Data Marketplace by defining governance requirements for semantic data products
• Drive data governance training, change management, and adoption across business, engineering, and AI teams
• Monitor and report on governance metrics, risks, and compliance posture for the Data Unification program

• 7+ years of experience in data roles with significant experience in data and information governance with a focus on enterprise-scale initiatives
• Deep expertise in data governance frameworks, policies, stewardship, and metadata management
• Background in GRC (Governance, Risk, and Compliance) programs
• Strong understanding of semantic technologies, ontologies, knowledge graphs, and federated data architectures
• Hands‑on experience implementing governance for cloud data platforms (Snowflake, Databricks), vector databases, and GraphQL-based data access layers
• Proven ability to partner effectively with technical teams (ontology, engineering, AI) and business stakeholders to embed governance into modern data platforms
• Solid knowledge of data privacy, security (RBAC/ABAC, dynamic masking), and compliance requirements in large enterprises
• Experience with data quality, lineage, and catalog tools in complex, heterogeneous environments
• Excellent communication and influencing skills with the ability to bridge governance, technical, and business teams.

Demonstrates extensive expertise in data governance frameworks, policies, and stewardship, with a strong focus on implementing governance in cloud data platforms and federated architectures. Proven ability to collaborate across technical and business teams to ensure compliance and data quality in enterprise-scale initiatives.

• Data Governance Frameworks
• Cloud Data Platforms (Snowflake, Databricks)
• Semantic Technologies
• Data Privacy and Security (RBAC/ABAC)
• Data Quality and Lineage Tools

• Data Governance
• Metadata Management
• Data Stewardship
• Federated Data Architectures
• GraphQL Interfaces
• Vector Databases
• Data Quality Strategies
• Compliance Requirements
• Change Management
• Governance Policies

• Excellent Communication
• Influencing Skills
• Collaboration

• Governance, Risk, and Compliance (GRC)
• Data Privacy
• Data Security
• Data Marketplace
• Data Unification