This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Collibra Consultant role at NTT DATA requires a strong background in data governance and Collibra's products. Candidates should have at least 5 years of experience and a bachelor's degree in Computer Science or a related field. Responsibilities include implementing data governance solutions and collaborating with teams to ensure data quality. A master's degree is preferred.
Job Responsibility:
Data Catalog Management: Maintain and enhance the enterprise data catalog by onboarding new datasets, metadata, and data assets
Ensure datasets are properly documented with accurate metadata, ownership, classifications, and descriptions
Work with data owners and stewards to improve catalog completeness and usability
Business Glossary Administration: Develop and manage the business glossary, ensuring consistent definitions for business terms across the organization
Collaborate with business stakeholders to standardize terminology and maintain alignment with data assets
Establish governance processes for term creation, approval, and lifecycle management
Workflow Management: Configure and manage data governance workflows including term approvals, asset onboarding, policy management, and stewardship activities
Monitor workflow execution and ensure timely approvals and escalations
Continuously improve workflow efficiency and governance processes
Create custom workflows as per requirement
Data Lineage Management: Capture, document, and maintain end-to-end data lineage from source systems through transformation to consumption layers
Support impact analysis for data changes and ensure traceability across data pipelines
Work closely with data engineering teams to validate lineage accuracy
Support impact analysis and root cause analysis by tracing upstream and downstream dependencies of critical data elements
Validate and reconcile automated lineage generated by governance or metadata tools with actual data pipelines and transformations
Debug and troubleshoot technical lineage issues, including incorrect or missing lineage relationships caused by ETL jobs, SQL transformations, data pipelines, or ingestion connectors
Work closely with data engineers and architects to investigate lineage breaks, resolve metadata ingestion problems, and ensure lineage accuracy
Edge Administration: Manage edge components or connectors that integrate external systems with the data governance platform
Configure and maintain connectivity between governance tools and source systems
Troubleshoot integration issues and ensure stable metadata ingestion
Data Governance Operations: Support the implementation and adoption of data governance policies, standards, and best practices
Partner with data stewards to improve data quality, ownership, and accountability
Provide training and support to business users on governance tools and processes
Stakeholder Collaboration: Work with data owners, stewards, architects, and engineers to drive governance adoption
Support governance councils and working groups with insights and documentation
Assist in reporting governance metrics and maturity improvements
Requirements:
Bachelor’s degree in Information Systems, Data Management, Computer Science, or related field
3+ years of experience in data governance, metadata management, or data management roles
Hands-on experience with data catalog and governance tools (e.g., Collibra, Alation, Microsoft Purview, Informatica EDC, Atlan, etc.)
Strong experience with: Data catalog management
Business glossary creation and governance
Workflow configuration
Data lineage documentation
Metadata management
Experience supporting edge integrations or connectors for governance platforms
Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Nice to have:
Experience implementing enterprise data governance frameworks
Familiarity with data quality management practices
Experience working with data warehouses, data lakes, or cloud platforms (AWS, Azure, GCP)
Knowledge of SQL, ETL pipelines, and data architecture concepts
Experience in metadata automation and lineage extraction tools