Asset Data Governance Specialist

6 days ago

Hyderabad, India Anblicks Full time
Job Title: Collibra Data Governance Specialist Location: Job Type: Full-Time
We are seeking a highly skilled and experienced Collibra Expert to lead and manage our enterprise-level data governance initiatives using Collibra. This role requires deep expertise in Collibra’s platform, including configuration, integration, workflow development, and stakeholder engagement. The ideal candidate will be responsible for implementing and maintaining data governance frameworks, ensuring data quality, and enabling data stewardship across the organization.
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.
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.
5+ years of experience in data governance , metadata management, or data quality.
~3+ 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.
~ Experience in enterprise-level deployments of Collibra.
Knowledge of regulatory compliance (e.g., Background in data architecture or data engineering is a plus.

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