
Senior Data Governance Specialist
23 hours ago
Job Title:
Data Governance ExpertAbout the Role:
We are seeking an experienced professional to lead and manage our data governance initiatives using Collibra. This role requires deep expertise in Collibra's platform, including configuration, integration, workflow development, and stakeholder engagement.
Key Responsibilities:- Develop and implement the data governance strategy and roadmap.
- Design and configure the data governance framework, including policies, procedures, and standards.
- Develop and maintain custom workflows using BPMN and Collibra Workflow Designer.
- Integrate Collibra with enterprise systems (e.g., Snowflake, Informatica, Tableau, Azure) 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.
- Excellent communication and stakeholder management skills.
- Collibra Ranger or Solution Architect certification is a plus.
- 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.
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