Senior Informatica MDM SaaS (IDMC) Engineer

Key Responsibilities:

• Business Entity Modeling: Design and configure Business Entities, Relationships, and Field Groups within the MDM SaaS Multidomain/C360 application.
• Cost-Optimized Design: Design data models and integration patterns with a focus on cost-efficiency. This includes optimizing the consumption of Informatica Processing Units (IPUs) and managing Managed Record limits through efficient data filtering and archival strategies
• AI-Powered Match & Merge: Configure and tune match models using CLAIRE (Informatica s AI engine) and declarative rules. Define survivorship and trust rules to ensure a "Golden Record". Conduct rigorous match-tuning cycles, analyzing false positives/negatives to ensure the migrated match logic meets or exceeds the accuracy of the legacy IBM system.
• Ingestion & Integration: Build and manage data pipelines using Cloud Data Integration (CDI) for batch processing and Cloud Application Integration (CAI) for real-time, event-driven API integrations.
• Hierarchy Modeling: Design and implement complex many-to-many relationships and hierarchies within the Business Entity 360 framework.
• Data Quality: Implement Cloud Data Quality (CDQ) rules for profiling, cleansing, and standardizing master data during the ingestion process.
• User Interface Design: Configure the MDM SaaS UI, including Page Layouts, Search configurations, and Business Entity Views tailored for Data Stewards.
• Legacy Mapping: Analyze legacy IBM MDM data models and map them to the Informatica SaaS Business Entity structure to ensure business continuity.
• Workflow & Governance: Set up change request processes and approval workflows within the SaaS environment.
• API Management: Develop and consume REST APIs for data synchronization between MDM SaaS and downstream/upstream applications. Required Technical Skills
• Informatica MDM SaaS: Hands-on experience with the IDMC Multidomain MDM SaaS or Customer 360 SaaS applications.
• IDMC Platform: Proficiency in the Informatica Intelligent Data Management Cloud (IDMC) ecosystem, specifically CDI and CAI.
• Data Quality: Experience with Cloud Data Quality (CDQ) within the IDMC environment. Modeling: Strong understanding of Business Entity (BE) modeling (as opposed to traditional relational Hub modeling).
• Web Services: Deep knowledge of RESTful APIs, JSON, and Postman for testing MDM endpoints.
• Performance Tuning: Optimize IICS mapping performance and troubleshoot complex integration issues to ensure high-speed data processing in a cloud environment.
• Automation & DevOps: Implement CI/CD patterns for IICS using GitHub/Azure DevOps and utilize IICS APIs for automation where applicable.
• SQL: Proficiency in SQL for data analysis and validation against cloud data warehouses (BigQuery)

Skills Required:

• Informatica Top 3 skills needed for the role. Informatica SaaS/IDMC - MDM Google Cloud Platform Data Engineering SQL Proficiency

Skills Preferred:

• Google Cloud Platform

Experience Required:

• Engineer 3 Exp: 7+ years Data Engineering work experience 5+ Years in MDM (Minimum 3 years in Informatica SaaS/IDMC)

Experience Preferred:

• Google Cloud Platform Data Engineering Direct experience in an IBM MDM to Informatica MDM SaaS migration project. Informatica IDMC MDM SaaS Professional Certification. Experience with Informatica Governance & Catalog (IDMC).

Education Required:

• Bachelor's Degree

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