Informatica IICS Lead Data

We are seeking a Lead Data Engineer to manage the end-to-end development and administration of data integration solutions using Informatica Cloud services. The role includes technical leadership, mentoring, and collaboration with cross-functional teams to deliver reliable, high-performing data solutions., Design, develop, test, and maintain data integration solutions using Informatica IICS/IDMC. Develop business process automation using CAI Processes, Service Connectors, and Process Objects. Create and test complex mapping tasks and taskflows, troubleshoot issues, and optimize performance. Integrate multiple source and target systems, including APIs, relational databases, and cloud platforms. Administer the Informatica environment, including user accounts, permissions, connections, metering, license upgrades, and product upgrades. Establish and enforce data quality standards and validation processes. Conduct testing and quality assurance to identify and resolve integration issues. Collaborate with business analysts, architects, and data engineers to deliver integrated solutions. Provide technical guidance and mentorship to junior team members. Follow company policies, applicable US laws and regulations, and Information Security Management System (ISMS) procedures.

Total Experience: 8+ years Relevant Experience: 5+ years Qualification: Bachelor’s degree Primary Skills: Informatica IICS/IDMC, CDI, CAI, and Administration Mandatory Skills: Informatica IICS development and administration, RDBMS, Azure or AWS Preferred Skills: Python, Azure Data Factory (ADF), Redshift, Snowflake work authorization :GC/USC, 8+ years of overall experience, including at least 5 years of relevant Informatica IICS/IDMC experience. Experience delivering 2-4 end-to-end IICS projects. Experience with Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Mass Ingestion (CMI), Cloud Integration Hub (CIH), Data Quality, and API Management. At least 2 years of hands-on CAI experience developing business process automation. Working knowledge of source and target systems, including API integrations. Strong understanding of data integration, ETL processes, data warehousing, and cloud technologies. Experience with relational database management systems. Familiarity with Azure or AWS cloud environments.

Preferred QualificationsBachelor’s degree. Experience with Python, Azure Data Factory, Amazon Redshift, or Snowflake. Practical experience with on-premises and cloud databases, including SQL and NoSQL. Exposure to streaming platforms such as Kafka. Familiarity with Google Cloud Platform (GCP).