MDM Architect

Salary : Competitive / Paid in Indian Rupee . INR / Annual Recommended Quick Links

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What You Should Know About This Job

Role : MDM Architect

Total Years of Experience : 12 -16 years

Job Location : Pan India

Mode of Work : Hybrid

Notice Period : Immediate to 30 days

Job Description : MDM Architect :

for delivery of the MDM capabilities required by the business functions

experience in Informatica MDM and Customer 360 implementation experience is a must

: INFA MDM or Customer 360, IDQ

specs, user stories, and product planning docs around MDM implementation

Customer Master roadmap, aligning with business objectives and outcomes

in creation and implementation of Data Model that helps support all business use cases

to achieve single source of truth from master data perspective

in full lifecycle of complex cross-functional programs / projects with considerable impact across multiple organizations

in adoption and implementation of best practices across key data elements and processes

to convert business requirements into technical specifications and decide timeline to accomplish

business and functional requirements documents

with business, technology and operations on driving data clean-up & validation efforts across various systems to achieve clean & complete Master Data

, root cause analysis, prioritization, remediation planning and coordination, and execution of remediation activities for data issues

system data documentation (metadata, dictionary, lineage) in accordance with established policies

resolve critical issues and providing technical resolution

in development and maintenance of the technologies that automate data processes

and guide developers on topics related to development and deployment of MDM processes

with users and team members at all level for performance improvement and suggestions

process and tools to monitor and analyse model performance and data accuracy / quality

a detailed analysis of data management requirements from a DataOps standpoint specifically Data Governance and Quality across all systems, platforms and applications

, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources