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Collibra Data Governance & Data Quality Consultant

Collibra Data Governance & Data Quality Consultant

Alignity SolutionsMcLean, VA, us
24 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Description

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Requirements

Role : Collibra Data Governance / Data Quality – Consultant

Location : Onsite – 5 days / week in McLean, VA

Work Type : 1099 / C2C / W2

Work Authorization : U.S. Citizens, Green Card holders, H1B, H4 EAD

Role Overview :

We are seeking a hands-on Collibra Data Governance and Data Quality Consultant to help mature our enterprise data governance and quality framework. This consultant will play a pivotal role in configuring, integrating, and operationalizing Collibra Data Governance Center (DGC) and Collibra Data Quality (CDQ), ensuring end-to-end traceability, stewardship, and adoption across the enterprise.

The ideal candidate is not only technically proficient but also comfortable collaborating directly with business stakeholders, data stewards, and governance leaders to design scalable solutions that improve trust in data.

Key Responsibilities :

Collibra Configuration & Workflows : Configure and deploy Collibra DGC workflows supporting rule creation, approval, escalation, and monitoring.

Data Quality Governance : Establish traceability between DQ rules, data domains, controls, and governance models.

Platform Integration : Enable seamless integration between Collibra DGC and CDQ, ensuring metadata flow, score synchronization, and issue routing function as intended.

Operational Enablement : Support business teams with onboarding rules, assigning ownership, and implementing issue tracking within Collibra.

Reporting & Dashboards : Design and build intuitive data quality dashboards and reports in Collibra to drive visibility and accountability.

Governance Alignment : Work with governance leads to align DQ rules with enterprise control frameworks (e.g., BWise).

Best Practices & Training : Collaborate with platform admins, define best practices, deliver training sessions, and provide documentation to drive adoption.

Required Skills & Experience :

  • 5+ years in data governance, metadata, or data quality domains.
  • 3+ years of hands-on experience with Collibra Data Governance Center (DGC).
  • 3+ years of hands-on experience with Collibra Data Quality (CDQ), including : Profiling setup and interpretation, Rule results integration, Score and issue reporting
  • Experience designing and customizing Collibra workflows (BPMN 2.0).
  • Strong knowledge of data quality dimensions, rule structures, and governance models.
  • Familiarity with Snowflake, SQL, and enterprise data platforms.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Skills :

  • Working knowledge of Informatica Cloud Data Quality (ICDQ), including rule setup and profiling.
  • Familiarity with issue tracking systems such as ServiceNow.
  • Understanding of lineage capture and asset modeling in Collibra.
  • Exposure to Collibra Edge, REST APIs, and bulk asset loaders.
  • Ideal Candidate Profile :

  • Brings real-world, practical experience implementing Collibra—not just theoretical knowledge.
  • Comfortable bridging business needs and technical solutions in real-time.
  • Self-driven, with the ability to configure, test, and document solutions independently.
  • Has a data-first mindset and understands how data quality directly drives business value and decision-making.
  • Benefits

    Visit us at  http : / / alignity.io / careers . Alignity Solutions is an Equal Opportunity Employer, M / F / V / D.

    CEO Message :   Click Here

    Clients Testimonial :   Click Here

    Requirements

    Requirements : 5+ years of experience in data governance, metadata, or data quality domains 3+ years of hands-on experience with Collibra Data Governance Center (DGC) 3+ years of hands-on experience with Collibra Data Quality (CDQ), including : Profiling setup and interpretation Rule results integration Score and issue reporting Experience designing and customizing Collibra workflows (BPMN 2.0) Strong understanding of data quality dimensions, rule structures, and governance models Familiarity with Snowflake, SQL, and other enterprise data platforms Excellent communication and stakeholder management skills

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