Role: Collibra DG & Data Catalog
Experience: 4 to 6 Years
Locations: Pan India
Please find below the JD:
About the Role
We are looking for a highly skilledCollibra Data Catalog and Lineage Sr Developerto join our growing Data Governance and Data Management team. This role is ideal for a seasoned professional with hands‑on expertise inCollibra Data Catalog, Lineage, Metamodel customization, Reference Data Management (RDM), and Metadata Management, along with experience working withDatabricks Unity Catalog.
As a key member of our enterprise data governance initiative, you will be responsible for designing, implementing, and enhancing metadata management, cataloging, and lineage solutions that improve data discoverability, transparency, compliance, and trust across the organization.
Key Responsibilities
Data Catalog & Metadata Management
- Design, develop, and maintain enterprise-wideCollibra Data Catalogsolutions.
- Manage metadata onboarding, asset registration, and metadata lifecycle processes.
- Develop and maintain Business Glossaries, Data Dictionaries, Data Domains, and Data Catalog structures.
- Define and implement metadata governance standards and best practices.
Data Lineage
- Build, maintain, and enhanceend-to-end technical and business data lineageacross enterprise data platforms.
- Configure Collibra Lineage integrations to provide source-to-target traceability and impact analysis.
- Collaborate with Data Engineering, Architecture, and BI teams to onboard lineage from databases, ETL tools, analytics platforms, and cloud ecosystems.
Collibra Platform Development
- Configure and customize theCollibra Operating Model and Metamodel.
- Create and manage communities, domains, asset types, relationships, attributes, and workflows.
- Develop automation and integrations usingCollibra APIs, Workflows, and REST services.
- Support platform administration, optimization, and enhancements.
Reference Data & Governance
- Implement and manageCollibra Reference Data Management (RDM)solutions.
- Establish governance processes for reference data stewardship, approvals, versioning, and lifecycle management.
- Partner with business and data governance stakeholders to improve data quality, standardization, and governance adoption.
Databricks Unity Catalog
- Support governance, metadata management, and lineage integration forDatabricks Unity Catalog.
- Collaborate with Data Engineering teams to govern data assets across the Databricks Lakehouse environment.
- Enable metadata synchronization, data classification, and governance controls between Collibra and Databricks platforms.
Stakeholder Engagement
- Work closely with Data Owners, Data Stewards, Architects, Engineers, Product Owners, and Business Users.
- Translate business requirements into scalable metadata and governance solutions.
- Provide best-practice guidance on cataloging, lineage, governance, and metadata management initiatives.
Required Qualifications
Experience
- 5+ years of experience in Data Management, Data Governance, Metadata Management, or Data Analytics.
- Minimum 5+ years of hands‑on experience implementing and supportingCollibra Data Intelligence Platform.
Technical Expertise
- Strong hands‑on experience with:
- Collibra Data Catalog
- Collibra Lineage
- Business Glossary
- Metadata Management
- Data Stewardship
- Collibra Workflow Configuration
- Collibra Operating Model
- Experience withCollibra Metamodel customization.
- Strong experience withReference Data Management (RDM)in Collibra.
- Experience working withDatabricks Unity Catalog.
- Proficiency in SQL and metadata analysis.
- Experience with REST APIs, metadata integrations, and automation frameworks.
Domain Knowledge
- Strong understanding of:
- Data Cataloging
- Data Lineage
- Metadata Governance
- Data Classification
- Reference Data Management
- Data Governance Frameworks
- Experience working within highly regulated environments such as BFSI, Insurance, or Healthcare.
Preferred Qualifications
- Collibra Certified Professional (preferred)
- Experience with Databricks Lakehouse Platform
- Exposure to Azure Data Lake, Snowflake, Informatica, or similar enterprise data platforms
- Experience with Python or scripting technologies for automation
- Knowledge of MDM and Data Quality concepts
- Consulting or client-facing delivery experience
Preferred: Immediate to 30 days notice period.