Collibra Data Governance Specialist

Job Title: Collibra Data Governance Specialist

Location: Hyderabad

Job Type: Full-Time

About the Role:

Collibra Expert

Key Responsibilities:

• Lead the

  end-to-end implementation and administration

  of the Collibra Data Intelligence Platform.
• Design and configure

  Collibra Operating Model

  , including domains, assets, workflows, and roles.
• Develop and maintain

  custom workflows

  using BPMN and Collibra Workflow Designer.
• Integrate Collibra with enterprise systems (e.g., Snowflake, Informatica, Tableau, Azure, SAP) using APIs and connectors.
• Collaborate with data stewards, data owners, and business users to define and enforce

  data governance policies

  .
• Implement and monitor

  data quality rules

  , lineage, and metadata management.
• Provide

  training and support

  to business and technical users on Collibra usage and best practices.
• Act as a

  Collibra SME

  and evangelist within the organization, promoting data governance maturity.
• Maintain documentation and ensure compliance with internal and external data governance standards.

Required Skills & Qualifications:

• 10+ years of experience in

  data governance

  , metadata management, or data quality.
• 5+ years of

  hands-on experience with Collibra

  , including configuration, workflow development, and integration.
• Strong understanding of

  data governance frameworks

  , data stewardship, and data lifecycle management.
• Proficiency in

  Collibra APIs, BPMN, and scripting languages

  (e.g., Groovy, JavaScript).
• Experience with

  data cataloging, lineage, and business glossary

  in Collibra.
• Familiarity with

  data platforms

  like Snowflake, Azure, AWS, Informatica, or similar.
• Excellent communication and stakeholder management skills.
• Collibra Ranger or Solution Architect certification is a

  plus

  .

Preferred Qualifications:

• Experience in

  enterprise-level deployments

  of Collibra.
• Knowledge of

  regulatory compliance

  (e.g., GDPR, HIPAA, CCPA).
• Background in

  data architecture or data engineering

  is a plus.