Informatica MDM SaaS Architect

  • Posted 8 hours ago | Updated 8 hours ago

Overview

Remote
Up to $80
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

CDQ
CAI
CDI
Cloud
IICS
IDMC
Saas
MDM

Job Details

Job Summary:

The IDMC MDM SaaS Architect is responsible for designing, implementing, and managing Informatica Master Data Management (MDM) solutions on the Informatica Data Management Cloud (IDMC) SaaS platform. This role requires close collaboration with stakeholders to define enterprise data architecture, lead master data modeling and integration efforts, and ensure performance, availability, and governance of cloud-based MDM systems.


Key Responsibilities:

  • Solution Architecture: Develop both target-state and transitional architectures for MDM implementations within the IDMC SaaS ecosystem.

  • Master Data Modeling: Design and implement scalable master data models across domains such as Person and Organization.

  • Data Integration: Build robust data pipelines and integration patterns using Informatica Intelligent Cloud Services (IICS), including CDI and CAI.

  • Data Quality & Governance: Establish best practices for metadata management, data quality, lineage tracking, and governance across the master data lifecycle.

  • Technical Leadership: Lead architecture reviews, provide technical guidance, and conduct proof-of-concept initiatives.

  • Hands-on Expertise: Implement match/merge, survivorship rules, and other core MDM functions.

  • Stakeholder Engagement: Collaborate with business and IT teams to gather requirements and align solutions with enterprise data strategies.

  • Platform Operations: Ensure high availability, performance, security, and compliance of IDMC MDM SaaS solutions.

  • Agile Delivery: Work within Agile/Scrum frameworks for iterative and collaborative delivery.


Required Skills & Experience:

  • Strong expertise in Informatica MDM SaaS, IICS, CDI, CAI, and CDQ

  • Experience designing and deploying enterprise MDM and data integration solutions

  • Solid understanding of cloud data architectures and integration patterns (batch, real-time, API-driven, event-driven)

  • Hands-on experience with SQL/NoSQL databases and messaging platforms (Kafka, Azure Service Bus)

  • Strong problem-solving, debugging, and performance tuning capabilities

  • Excellent communication, collaboration, and stakeholder management skills

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