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 plusStrong 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.