Curious about the role?

As an Architect, your work is a combination of hands-on contribution, customer engagement, and technical team management. Overall, your responsibilities for MDM architect includes design, architect, deploy and maintain or modernize/ migrate Master Data Management Platform solutions. More specifically, this will.

● Subject matter expert to define measurable metrics per subject area to support a robust and successful deployment of an Informatica MDM platform.

● Plan and lead MDM requirement analysis, MDM tool evaluation and assessment sessions with business users.

● Own and aggressively drive forward MDM solutions across Cloud Data Management

● Understand requirements and support development pertaining to the client's C360/E360 application.

● Engage in complex Master Data Management projects utilizing technologies and architecting the solutions including MDM tools, Data Quality tools, Data Integration tools, and Data Modelling tools

● To be able to explain to clients in detail the functional and technical features of MDM products, their strengths & limitations.

● Good knowledge of various aspects of - like data ingestion/inbound configurations, data modelling, match rules, cleanse rules, survivorship rules, metadata analysis, outbound configurations.

● To be able to understand the client’s customer life cycle, touchpoints where customer data is captured and business processes to collect, analyze and consume this data for various purposes such as marketing, sales, customer service etc.

● Maintain strong knowledge of technical as well as functional features of MDM Products, their strengths & limitations, and other critical aspects to successfully guide our clients during the selection of MDM vendor, Implementation, Analytical and Operations of the MDM.

● Have a good understanding of Master Data Management Concepts when applied to Customer/Product/Supplier/Material data including but not limited to data collection, unification, transformation, segmentation, and storage.

● Good understanding of Data Stewardship and Governance process - Manual Merge, Hierarchy Management, Workflow Management, Unmerge, Curation, Survivorship, etc.

● Define requirements for data quality rules, data matching and merging rules, survivorship criteria, and data stewardship workflows.

● Advise on performance optimizations and best practices for scalable data models, pipelines, and queries.

● Provide supervision and guidance to the development team to ensure the MDM is implemented as per business requirements and expectations.

● Assessing current state technical architecture and advise how MDM will fit to enhance the maturity level of clients in terms of utilizing customer data to achieve client business goals.

What do we expect?

● 12+ years of technical experience in in data architecture and management with 7+ years in Informatica MDM (10.4 or later) in architecting and designing MDM solutions and 3+ years in Informatica SaaS MDM modernization and cloud migration programs completed at least 2-3 full life cycle

● Expertise in Informatica MDM Hub, IDD, Business Entity Services, Provisioning Tool, and Data Quality.

● Strong understanding of Customer, Product, Supplier, Location, and Material domains.

● Must have hands-on experience across the various phases of a typical DQM solution - data profiling, data integration, validation, cleansing, standardization, matching, consolidation etc.

● Proven ability to design and execute scoped migration plans with minimal disruption to downstream systems

● Proven track record in migrating on-prem MDM to SaaS, including:

o Designing migration playbooks/runbooks

o Automating entity model generation and metadata mapping

o Ensuring data integrity, security, and minimal downtime

o Source-to-target mapping

o Data profiling and cleansing

o Transformation logic and survivorship alignment

o Incremental and bulk load strategies

● Implemented data validation frameworks to ensure accuracy, completeness, and referential integrity post-migration

● Experience with zero-downtime cutover planning, rollback strategies, and parallel run validations

● Proficiency in SQL, Informatica - CDI/ CDQ/ CAI, and metadata management.

● Hands-on experience with cloud platforms - Azure and enterprise integration patterns.

● Excellent communication, stakeholder engagement, and leadership skills