Job Description

Collibra Data Quality, (SME) Onsite McLean, VA

6-month contract

Client is seeking a Collibra Data Quality Subject Matter Expert (SME) to support the Business division's enablement of the Collibra DQ platform. This is a non-developer, tool enablement and training role, ideal for a seasoned professional who understands how to operationalize Collibra DQ in a business-driven data governance environment. Additional experience with Informatica Cloud Data Quality is a strong advantage.


Scope of Work:

• Serve as Collibra DQ product expert, guiding adoption, setup, and optimization across business and technical user groups.
• Design and deliver training sessions, hands-on workshops, and tailored coaching for Data Stewards, Data Owners, and Governance Analysts.
• Advise on best practices for:
• Profiling and monitoring data quality
• Rule creation and reuse
• Threshold setting and scoring
• Issue triage and feedback loops
• Partner with internal stakeholders to configure DQ dashboards, scorecards, and operational workflows within Collibra.
• Evaluate opportunities to leverage Informatica Cloud Data Quality in a complementary role to CDQ when appropriate
• Support documentation and enablement materials for ongoing internal use.

Required Qualifications:

• Deep hands-on experience with Collibra Data Quality, ideally in enterprise or large-scale deployments.
• Strong grasp of data quality dimensions (completeness, validity, consistency, etc.) and how to implement them via Collibra's rules engine and scorecards.
• Demonstrated ability to train and empower non-technical business users.
• Familiarity with Informatica Cloud Data Quality is a plus
• Strong communication, facilitation, and knowledge-sharing mindset.
• Proven ability to work autonomously in a fast-paced, cross-functional environment.

Nice to Have:

• Experience supporting data governance programs in regulated environments (e.g., finance, healthcare).
• Familiarity with other components of the Collibra platform (e.g., Catalog, Governance, Workflow).
• Background in metadata-driven quality assurance or data lineage use cases.

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