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# Informatica Data Governance Engineer

- **Company:** Neuveon Inc
- **Location:** United States
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Information Systems, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Migration, DevOps, Meta-Data Management, Metadata Repositories, Cloud Services, SQL Databases, Enterprise Data Management, Data Ingestion, Snowflake, Git, Information Technology, Data Lineage, Cloud Migration, Data Pipelines, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/b57af8b7-0a37-4479-b95a-9b662f7b0622

## About the Role

* Experience with data privacy regulations and PII compliance.
 * Experience with data migration, cloud modernization, and legacy system transformation.
 * Familiarity with Git, CI/CD pipelines, and DevOps practices.
 * Bachelor's degree in Computer Science, Information Systems, or a related field.

Technical Skills: Informatica Axon, EDC, IDQ, IICS, Snowflake, SQL, data governance, metadata management, data lineage, data quality, API integration, ETL/ELT, Azure/AWS, Databricks, Git, and CI/CD.

## Description

We are seeking an experienced Informatica Data Governance Engineer with hands-on expertise in Informatica Axon, Enterprise Data Catalog (EDC), Informatica Data Quality (IDQ), and IICS. The ideal candidate will drive enterprise data governance, metadata management, data lineage, and data quality initiatives while integrating Snowflake, Redshift and other cloud data platforms., * Implement and maintain Informatica Axon, EDC, IDQ, and IICS solutions.

 * Develop and manage data catalogs, metadata repositories, data lineage, and stewardship workflows.
 * Define and enforce data governance policies, standards, and data quality rules.
 * Build automated data ingestion, validation, transformation, and workflow processes.
 * Integrate Snowflake and other cloud platforms with Informatica using APIs and ETL/ELT processes.
 * Develop data models, monitor data quality, and troubleshoot data pipeline issues.
 * Ensure compliance with data privacy, security, and PII protection requirements.
 * Support data migration, legacy modernization, CI/CD, and DevOps initiatives.
 * Collaborate with business and technical teams on solution design, documentation, and governance best practices.