Informatica CDGC Data Governance Consultant

Senior Data Governance Consultant – Informatica CDGC

Rate is Open.

C2C is fine.

We're seeking a senior consultant with expert-level Informatica CDGC skills to scan, catalog, govern, and publish a complex data estate spanning relational, No

SQL, API, and event-driven source systems. A significant portion of this work involves non-SQL sources (MongoDB, AWS Document DB) where Informatica has no native connectors, requiring a resourceful engineer who can assess available tooling and implement a viable ingestion solution. The consultant will also stand up Data Products in Informatica.

• Design and execute metadata scanning across relational, No
  
  SQL, API, and event-driven source types into Informatica CDGC
• Implement viable scanning solutions for MongoDB and AWS Document DB using Informatica tooling, ingestion APIs, and scripted extraction
• Catalog REST APIs and microservices as governed assets; integrate event-driven sources (Kafka, AWS Kinesis/SQS) for lineage tracking
• Configure connections across Oracle, MS SQL Server, PostgreSQL, AWS S3, and No
  
  SQL platforms
• Build and validate end-to-end data lineage from source systems through AWS S3, Microsoft Fabric, and Power BI
• Define and publish Data Products in Informatica Marketplace for governed, consumable asset delivery
• Support curation workflows: classification, glossary association, profiling, and stewardship alignment
• Troubleshoot scanning failures, connectivity issues, and metadata quality gaps
• Document all configurations, ingestion approaches, lineage patterns, and Data Product definitions for team knowledge transfer

• Informatica CDGC — expert-level; hands-on production experience with scanning, cataloging, lineage, classification, and Data Products
• Informatica Profiling — hands-on experience running and interpreting data profiling to assess data quality, completeness, and patterns across scanned assets
• Informatica Data Products & Marketplace — defining, publishing, and managing data products
• No
  
  SQL scanning solutions — proven ability to implement metadata ingestion for sources without native Informatica connectors
• Non-SQL databases — MongoDB and AWS Document DB: schema structures, connection methods, metadata extraction
• API scanning — cataloging REST APIs and microservices as governed assets in Informatica CDGC
• Event processing — integrating Kafka, AWS Kinesis, or equivalent into a data catalog for lineage and governance
• Data engineering — strong Python and/or Java for scripting and ingestion work
• Relational databases — Oracle, MS SQL Server, PostgreSQL
• Data governance concepts — catalog management, classification, glossary, stewardship workflows

• Microsoft Fabric or Power BI lineage integration
• Financial services or insurance industry background