Role/Job title
Technical Lead Collibra
Work Location
Norwich
Role type - Permanent/Fixed Term/ Contracting
Contracting
Mode of working Hybrid /office based
Hybrid
If Hybrid, how many days are required in office?
3 Days (Flexible)
Number of positions
Unit
IS-BFSI-UK2-IE-RSA 1.1
WON / SWON
Contractor Rate (if applicable)
Market rates
Duration of assignment
6 Months
Any other working conditions - travel/on call/shifts
The Role
We are seeking a Senior Technical Lead with strong expertise in data governance, data quality, metadata management, and broader data management practices, with hands-on experience delivering solutions using the Collibra platform. The role involves defining solution architectures, leading configuration and integration of Collibra modules, implementing governance workflows, establishing metadata standards, and working closely with enterprise architects, data stewards, and platform teams.
Your responsibilities:
Solution Architecture & Design
Lead the design and implementation of Collibra-based data governance solutions, including: Data Catalog
Business Glossary
Policy & Standards
Data Quality integration
Operating models (roles, responsibilities, stewardships)
Define Collibra architecture, metadata models, custom domains, and asset types.
Create reusable frameworks for metadata ingestion, lineage, and governance workflows.
Collibra Configuration & Development
Configure Collibra components, including: Custom asset models
Attribute definitions
Relations and hierarchies
Workflows (BPMN-based)
Data quality dashboards & certification workflows
Develop and maintain Collibra REST APIs, Connect integrations, and catalog crawlers .
Implement metadata onboarding processes and automated connectors to cloud/on-prem data platforms.
Data Governance & Data Quality Leadership
Collaborate with data governance councils, data stewards, and business SMEs to define: Data standards
Business glossary terms
Data ownership & stewardship models
Data quality rules, SLAs, and data issue management workflows
Ensure alignment with enterprise data governance frameworks and compliance requirements.
Integration & Metadata Lineage
Implement automated metadata ingestion from: Data lakes
ETL tools (Glue, Informatica, Talend, IICS)
Warehouses (Redshift, Snowflake, BigQuery)
BI tools (Power BI, Tableau)
Streaming sources (Kafka)
Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
Ensure metadata completeness, accuracy, and operational SLAs.
Your Profile
Essential skills/knowledge/experience:
Data lakes
ETL tools (Glue, Informatica, Talend, IICS)
Warehouses (Redshift, Snowflake, BigQuery)
BI tools (Power BI, Tableau)
Streaming sources (Kafka)
Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
Ensure metadata completeness, accuracy, and operational SLAs.
TPBN1_UKTJ