> Markdown version of [/jobs/ext/3996648-informatica-axon-edc-idq-developer](https://www.wearedevelopers.com/jobs/ext/3996648-informatica-axon-edc-idq-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Informatica Axon/EDC/IDQ Developer - **Company:** Bansar Technologies Inc - **Location:** Austin, United States (Remote available) - **Experience:** Experienced - **Contract:** Contract - **Skills:** Microsoft Word, Microsoft Excel, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Governance, Data Transformation, Relational Databases, DevOps, Distributed Data Store, Enterprise Information Management, Meta-Data Management, Microsoft Office, Microsoft Visio, Performance Tuning, Microsoft PowerPoint, Cloud Services, Microsoft SharePoint, SQL Databases, Data Processing, Data Ingestion, Snowflake, Informatica Cloud, Git, Information Technology, Data Lineage, Collibra, Data Management, Api Management, Databricks - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/bc482bdc-fb68-49e5-94e9-91a162f43f76 ## About the Role Years Required/Preferred Experience 5+ Required Strong experience with Informatica Data Governance tools (e.g., Axon, EDC, IDQ). 2+ Required Experience with Informatica Cloud (IICS). 5+ Required Experience with API integrations and workflow automation. 5+ Required Skill with Microsoft Office tools, particularly with Word, Excel, PowerPoint, Visio, and SharePoint 3+ Required Understanding of cloud data platforms (Azure, AWS, Databricks, Snowflake, or similar). 3+ Required Expert of data modeling, metadata management, and data lineage. 5+ Required Knowledge of enterprise information management processes and methodologies, relational database management systems, and metadata management 2+ Preferred Knowledge of local, state, and federal laws and regulations (PII) relevant to data management and data governance 2+ Required Experience in working in fast-paced and ever-changing environments; achieving project's deliverables and deadlines; exercising sound judgment in making critical decisions; analyzing complex information and developing plans to address identified issues. 2 Required Skill in interpersonal relationships, including the ability to work with people under pressure, negotiate among multiple parties, resolve conflicts, and establish and maintain effective working relationships with various levels of personnel. 2+ Preferred Experience in data focused projects, like moving from Legacy to newer systems. - Preferred Graduation from an accredited four-year college or university with major coursework in data processing, computer science, business administration, or a related field. ## Description Responsible for implementing and maintaining Informatica Data Governance solutions including metadata management, data quality rules, lineage, and stewardship workflows while partnering with data stewards, analysts, and business teams to define and enforce governance standards. Develops automated data ingestion, transformation, and validation processes and integrates Snowflake with Informatica and other Cloud platforms. Monitors data quality, performance, and reliability across pipelines, contributes to architectural decisions and best-practice documentation, and resolves data issues to ensure accuracy, consistency, and security. Provides technical guidance and recommendations related to report development. Essential Job Duties * Strong experience with Informatica Data Governance tools (e.g., Axon, EDC, IDQ). * Expert of data cataloging and enterprise data governance frameworks. * Background in building scalable and distributed data systems. * Expert of data modeling, metadata management, and data lineage. * Experience with API integrations and workflow automation. * Hands-on experience with Snowflake (SQL, Snowflake architecture, performance tuning, ELT). * Familiarity with CI/CD, Git, and modern DevOps practices. * Define data transformation rules, metadata, and data lineage documentation. * Ensure reporting and extract requirements align with enterprise data governance standards. * Troubleshoot defects and work with technical teams to resolve issues.