Data Governance Consultant

Collibra Consultant

Req ID: 364126 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Collibra Consultant to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Key Responsibilities

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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Key Competencies

• Data governance expertise
• Metadata management
• Process and workflow design
• Stakeholder collaboration
• Data lineage analysis
• Documentation and standards development

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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Experience Level

Mid Level