> Markdown version of [/jobs/ext/4268169-informatica-idmc-architect](https://www.wearedevelopers.com/jobs/ext/4268169-informatica-idmc-architect). 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 IDMC Architect - **Company:** Job Cloud Inc. - **Location:** Moline, IL, United States - **Salary:** $114,400.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Database, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Systems, Data Intelligence, Meta-Data Management, Performance Tuning, SQL Databases, Enterprise Software Applications, Data Pipelines - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5df3f71e263fbede ## About the Role * Strong hands-on experience with Informatica IDMC/IICS. * Expertise in Cloud Data Integration, ETL/ELT, and data modeling. * Experience with SQL, APIs, and cloud platforms such as AWS, Azure, or GCP. * Knowledge of data quality, governance, security, and enterprise data architecture. * Strong communication, problem-solving, and solution-design skills. ## Description We are seeking an experienced IDMC Architect to design, develop, and implement scalable cloud-based data integration and management solutions using Informatica IDMC. The ideal candidate should have strong expertise in cloud data integration, ETL/ELT, data quality, data governance, and application integration., * Design and implement end-to-end data integration solutions using Informatica IDMC/IICS. * Develop and optimize ETL/ELT pipelines and data workflows. * Integrate cloud and on-premises systems, databases, and enterprise applications. * Implement data quality, data governance, metadata management, and data security standards. * Collaborate with business and technical teams to define architecture and data solutions. * Troubleshoot performance issues and ensure data pipeline reliability.