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 Saa

S/IDMC - MDM GCP

Data Engineering SQL Proficiency Skills Preferred:

GCP Experience Required:

Engineer 3

Exp:

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

Experience Preferred:

GCP 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:

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