Informatica IDMC Developer – Cloud Data Integration

About the role

We are looking for a skilled Informatica IDMC Developer to lead cloud‑based data integration and transformation projects. The role involves designing, building, and supporting scalable data pipelines on Informatica Intelligent Data Management Cloud (IDMC) while collaborating with business stakeholders, data architects, and engineering teams.

Key responsibilities

• Design, develop, and implement end‑to‑end data integration solutions using IDMC services such as Cloud Data Integration (CDI), Cloud Application Integration (CAI), and Cloud Data Quality (CDQ).
• Build and manage scalable ETL/ELT pipelines across cloud and on‑premise environments.
• Create complex mappings, workflows, task flows, and transformations for enterprise data integration.
• Enable real‑time, batch, and API‑driven integrations using REST, SOAP, and event‑based patterns.
• Define data integration architecture, enterprise data models, and ensure performance and scalability.
• Lead design and implementation of MDM solutions (Customer 360, Business 360, Reference 360) on IDMC.
• Establish best practices, reusable components, and frameworks for IDMC implementations.
• Drive cloud migration, hybrid integration strategies, and data governance frameworks.
• Monitor data accuracy, lineage, metadata, and optimize pipelines for reliability.
• Provide L2/L3 support, troubleshoot production issues, and manage Secure Agents and runtime environments.

Required profile

• Senior‑level experience (Senior Consultant) in cloud data integration projects.
• Strong collaboration skills with business stakeholders, solution architects, and Agile delivery teams.
• Proven ability to design scalable, high‑performance data pipelines and ensure data quality and governance.

Required skills

• Informatica Intelligent Data Management Cloud (IDMC)
• Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Data Quality (CDQ)
• ETL/ELT development
• SQL
• Cloud platforms: AWS, Azure, GCP
• MDM (Customer 360, Business 360, Reference 360)
• Secure Agents and runtime management
• Enterprise systems integration: SAP, Oracle, Salesforce, Snowflake, Data Lakes
• REST, SOAP, API integration
• Data governance and data quality frameworks