Collibra Data Quality Consultant
Capgemini · Bengaluru, Karnataka, India
Apply & track with Apply EdgeWe are seeking an experienced Collibra Data Quality & Data Catalog Consultant to join our Data & Analytics team. In this role, you will design, configure, and implement enterprise-grade data governance, data cataloging, and data quality frameworks using the Collibra Platform. You will work closely with business stakeholders, data stewards, and engineering teams to turn raw data into trusted business assets.Key Responsibilities:Collibra Platform Implementation: Configure and maintain Collibra Data Intelligence Cloud (Data Catalog, Data Governance Center, Data Lineage).Data Quality Management: Design, deploy, and manage Data Quality (DQ) rules, dashboards, metrics, and profiling using Collibra Data Quality (formerly Owl Analytics).Data Cataloging & Asset Mapping: Ingest metadata from diverse sources (Snowflake, Databricks, Oracle, AWS, Power BI, etc.) and automate metadata harvest jobs.Workflow Automation: Build and customize BPMN 2.0 compliant workflows in Collibra using Eclipse Designer / Flowable to automate data governance processes.Operating Model Alignment: Implement business glossaries, data dictionaries, domain structures, asset types, attributes, and relations in alignment with the enterprise governance model.Data Lineage: Establish end-to-end technical and business data lineage tracking.Stakeholder Enablement: Collaborate with Data Stewards, Owners, and IT teams to onboard assets and drive adoption across business units.Key Requirements & Qualifications:2 – 6 Years in Data Governance, Data Profiling, and Data Quality management.2+ years of hands-on experience with Collibra Data Intelligence Cloud / DGC.Solid hands-on experience in Collibra Data Quality.Technical Skills:Proficiency in SQL for data profiling, rule creation, and validation.Experience with API integration (REST APIs, Collibra Java/REST API client).Knowledge of BPMN 2.0 workflow development for Collibra.Experience connecting metadata sources (Cloud platforms, RDBMS, BI Tools, ETL pipelines).