Senior Data Governance Engineer

• Configure, extend, and support the Collibra Data Governance platform, including workflows and API-based integrations.
• Integrate Collibra with enterprise data platforms to enable automated metadata ingestion, lineage, and governance workflows.
• Support enterprise data catalog, business glossary, and lineage capabilities.

• Support the build-out of integrations with data sources (e.g., RDBMS, data warehouses, data lakes, SaaS systems, PaaS systems) to support catalog ingestion.
• Enable automated data discovery, classification, and enrichment to improve usability and trust.
• Ensure metadata accuracy, completeness, and scalability across platforms.

• Design and implement data quality rules, monitoring solutions, and validation pipelines as needed to support OCTO team and Pearson business units.
• Build and manage data quality jobs to support profiling, validation, and issue detection.
• Collaborate with Data Stewards to define quality standards and remediation workflows.

• Implement governance controls for data classification, access management, and privacy compliance.
• Integrate governance workflows with enterprise security and compliance tooling.
• Support initiatives related to regulatory and policy compliance requirements.

• Develop and maintain data pipelines, APIs, and integration services supporting governance use cases.
• Integrate data across platforms using ETL/ELT processes and modern data engineering practices.
• Ensure pipelines align with governance standards for quality, lineage, and security.

• Partner with global stakeholders and Data Governance leadership to deliver prioritized backlog items. Participate in stand-up meetings with US-based team, accept assignments from US team leads.
• Work closely with engineering teams and external partners (e.g., Deloitte) to industrialize governance solutions.
• Contribute to documentation, standards, and best practices for governance engineering.

• Bachelor’s degree in Computer Science , Information Systems, Data Engineering, or related technical field.
• 3–6+ years of experience in data engineering, data platform engineering, or related roles.
• Strong programming and data engineering experience (e.g., Python, SQL).
• Hands-on experience with APIs and system integrations (REST, microservices).
• Familiarity with modern cloud-based data platforms (e.g., AWS, Azure, Snowflake, Databricks).

Preferred (Data Governance & Domain Experience – can be developed on the job)

• Understanding of data governance concepts including metadata, lineage, and data quality.
• Experience with data governance tools, preferably Collibra.
• Experience implementing data catalog, lineage, or metadata management solutions.
• Exposure to data quality frameworks and monitoring tools.
• Knowledge of data privacy, security, and compliance principles (e.g., PII, access controls).
• Experience designing and implementing data pipelines or integrating data from multiple sources.
• Experience working in global, cross-functional teams.

• Strong analytical and problem-solving capabilities.
• Ability to translate business requirements into technical solutions.
• Excellent collaboration and communication skills across technical and non-technical stakeholders.
• Self-starter with a focus on delivering scalable, high-quality solutions.
• Interest in developing expertise in Data Governance and enterprise data management practices.
• Commitment to continuous learning and improvement.

• Opportunity to contribute to a global, enterprise-wide Data Governance transformation.
• Exposure to modern data platforms, tools, and engineering practices.
• Collaborative, inclusive, and growth-oriented work environment.
• Competitive compensation and benefits aligned with local market standards.

Pearson is an Equal Opportunity Employer.

We are committed to building a diverse workforce and creating an inclusive environment where all employees are valued and empowered.