Key Responsibilities
· Lead the implementation, configuration, and support of Informatica MDM SaaS (Cloud MDM on IDMC) solutions based on business and client requirements.
· Design and configure Business Entities, Relationships, Hierarchies, Match/Merge Rules, Survivorship Rules, Trust Configuration, and Reference Data Management within the MDM Cloud platform.
· Architect and develop data ingestion pipelines using Cloud Data Integration (CDI) for batch and real-time integrations.
· Integrate MDM with external enterprise systems using REST APIs, event-driven integrations, and downstream publishing mechanisms.
· Collaborate with business stakeholders, data architects, QA teams, and offshore/onshore teams to define and deliver scalable MDM solutions.
· Perform data analysis, profiling, cleansing, and validation to support MDM implementations and business rule definitions.
· Troubleshoot and resolve issues related to data quality, performance, integration flows, and MDM configurations.
· Participate in solution design discussions and provide recommendations on best practices, governance, and implementation strategies.
· Mentor junior consultants and provide technical guidance during project execution.
· Prepare and maintain technical documentation including architecture diagrams, mapping specifications, configuration documents, and deployment guides.
· Participate in agile ceremonies including sprint planning, estimation, backlog grooming, and release activities.
—
Required Skills & Experience
· 10+ years of overall experience in Data Management with strong expertise in Informatica MDM SaaS / Cloud MDM on IDMC platform.
· Hands-on experience configuring Business Entities, Match Rules, Merge Strategies, Survivorship/Trust Rules, Hierarchies, and Reference Data in Cloud MDM.
· Strong understanding of Informatica Intelligent Data Management Cloud (IDMC) platform components.
· Experience with Cloud Data Integration (CDI), REST API integrations, and real-time/event-driven processing.
· Good understanding of Cloud Data Quality (CDQ) concepts and data validation processes.
· Strong expertise in SQL for data analysis, validation, and transformation.
· Solid understanding of data modeling, data governance, data stewardship, and MDM architecture principles.
· Experience working in Agile/Scrum delivery environments.
· Strong communication, stakeholder management, and problem-solving skills.
· Ability to work independently in client-facing roles and lead technical discussions.
—
Good to Have
· Experience with Customer 360 SaaS, Supplier 360 SaaS, Product 360 SaaS, or other domain-specific MDM solutions.
· Exposure to Cloud Application Integration (CAI) and API orchestration.
· Experience with cloud platforms such as AWS, Azure, or GCP.
· Familiarity with DevOps/CI-CD practices using Git, Jenkins, or similar tools.
· Informatica MDM SaaS / IDMC certifications are a plus.
· Exposure to data governance and metadata management frameworks.
Education
· Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.