Senior Data Modeler

Master Data Management Architect/Modeler

Experience: 10–12 Years

Domain: Global Payments / Financial Services / Customer Master Data Platform

Role Overview

The Senior MDM Architect / Data Modeler will partner closely with Data Scientists, Data Engineers, and Business stakeholders to design and implement a scalable enterprise Customer Master platform. The role requires deep expertise in MDM architecture, canonical data modeling, hierarchy management, entity relationships, and integration frameworks that support advanced entity resolution, golden record generation, and customer analytics initiatives.

The ideal candidate must be technically strong, capable of independently defining enterprise-grade data architecture, and experienced in delivering complex MDM implementations in large-scale environments.

Required Skills & Experience

Mandatory Experience

• 10–12 years of experience in Data Architecture, Data Modeling, and Enterprise Data Management.
• Minimum 5+ years of hands-on experience in Master Data Management (MDM) implementations.
• Proven experience designing enterprise Customer Master / Party Master solutions.
• Strong experience independently defining enterprise data architecture for complex distributed systems.
• Experience in Financial Services, Payments, Banking, or highly regulated environments.

Preferred Skills

• Familiarity with Python-based data processing ecosystems:
• Pandas
• NumPy
• PySpark
• Understanding of ML-driven data matching workflows and feature engineering concepts.
• Exposure to graph databases and customer relationship graph architectures.
• Experience supporting analytics and AI/ML initiatives using mastered customer data.

Key Competencies

• Enterprise Data Architecture
• MDM Solution Design
• Customer 360 / Golden Record
• Entity Resolution Architecture
• Data Governance & Stewardship
• Data Quality Management
• Relationship & Hierarchy Modeling
• Cross-functional Collaboration
• Technical Leadership
• Problem Solving & Analytical Thinking