Key Responsibilities

• Lead solutioning, design, and implementation of data governance frameworks using Collibra, acting as the primary technical resource for client engagements.
• Develop, document, and execute client-specific data governance architectures, policies, and processes to ensure data quality, integrity, security, and regulatory compliance.
• Translate complex business data requirements into practical technical solutions with a focus on Collibra platform capabilities.
• Manage configuration, integration, and workflow development within Collibra, including metadata management, data cataloging, and data lineage.
• Provide subject matter expertise, best practices, and evangelize Collibra adoption across client and internal teams.
• Conduct client training, facilitate knowledge transfer, and generate solution documentation to support user enablement.
• Stay updated on data governance trends, compliance requirements, and industry advancements to improve client solutions.
• Collaborate with project managers, business analysts, and engineering teams to ensure deliverables are aligned with enterprise standards and client expectations.

Required Qualifications

• Active Collibra Ranger Certification.
• Minimum 5 years’ experience in data governance, metadata management, or data architecture, with hands-on experience implementing Collibra solutions.
• Demonstrated understanding of data governance frameworks, data stewardship, regulatory compliance, and the data lifecycle.
• Experience integrating Collibra with other data management platforms (such as Snowflake, AWS, Azure, Informatica).
• Proficiency with Collibra APIs, workflow development (BPMN), and scripting languages (such as Groovy or JavaScript).
• Strong communication, stakeholder management, and documentation skills.

Preferred Qualifications

• Previous consulting or solution architect experience implementing Collibra for multiple clients or large enterprises.
• Experience with enterprise deployments of Collibra in regulated industries.
• Background in data engineering, information management, or enterprise data architecture.