Senior Data Modeler

EXL; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

EXL is seeking a Master Data Management Architect/Modeler with 10–12 years of experience to lead data architecture initiatives in a scalable enterprise Customer Master platform. This role involves collaboration with Data Scientists, Data Engineers, and Business stakeholders.

The successful candidate will independently define data architecture, manage complex MDM implementations, and possess strong experience in Financial Services and Payments.

Qualifications

• 10–12 years of experience in Data Architecture and Enterprise Data Management.
• Minimum 5+ years hands-on experience in MDM implementations.
• Strong experience defining enterprise-grade data architecture for complex systems.

Responsibilities

• Partner with Data Scientists and Business stakeholders to design data architecture.
• Implement scalable Customer Master platform.
• Manage hierarchy and entity relationships.

Skills

Data Architecture

Data Modeling

Master Data Management (MDM)

Python

NumPy

PySpark

Graph databases

Job description

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.
• 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:
• 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.