Overview

Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Their people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies trust Freshworks to power their Employee Experience and Customer Experience operations.

Role

We are looking for a highly skilled Data Platform Engineer to design, develop, and deliver enterprise-scale Master Data Management (MDM) and Data Platform solutions. The role will focus on Customer 360, data quality, identity resolution, governance, and cloud-native MDM initiatives across enterprise systems.

Key Responsibilities

• •Design, develop, and implement enterprise-wide MDM and Customer 360 solutions using cloud-native MDM platforms.
• •Lead technical architecture discussions and drive high-quality engineering delivery.
• •Develop scalable data models, match and merge strategies, survivorship rules, hierarchies, and workflow configurations within MDM platforms.
• •Build and optimize data pipelines, integrations, mappings, and workflows across CRM, billing, analytics, and downstream systems.
• •Drive data quality initiatives including profiling, cleansing, standardization, enrichment, and duplicate resolution.
• •Design and develop identity resolution frameworks using enterprise-grade matching algorithms and governance processes.
• •Collaborate with business stakeholders, architects, vendors, and engineering teams to translate business requirements into scalable technical solutions.
• •Support Customer 360 and AI-ready data foundations leveraging FERN matching, entity resolution, and governance frameworks.
• •Develop and support production jobs, operational monitoring, deployment activities, and root cause analysis.
• •Plan infrastructure scalability, reliability, and operational readiness for enterprise data platforms.
• •Create data quality rules, workflows, dashboards, and stewardship processes.
• •Contribute to release planning, estimations, production support, and continuous platform improvements.
• •Mentor junior engineers and contribute to engineering best practices and technical excellence.

Required Qualifications

• •Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
• •8+ years of experience in Data Engineering, MDM, or Enterprise Data Platform development.
• •Strong expertise in Master Data Management concepts including Customer 360, Match and Merge, Survivorship, Identity Resolution, Hierarchy Management, and Data Governance.
• •Hands-on experience with one or more MDM platforms such as Reltio, Informatica MDM, or other enterprise MDM platforms.
• •Strong experience in data quality management, profiling, cleansing, standardization, and duplicate detection.
• •Expertise in SQL and enterprise data platforms such as Databricks or other modern data warehouses.
• •Strong experience with cloud technologies including AWS, GCP, or Azure.
• •Experience building scalable ETL/ELT pipelines and enterprise data integrations.
• •Hands-on experience in Python, Java, or Scala is preferred.
• •Strong analytical, problem-solving, and communication skills.
• •Experience supporting production systems, deployments, monitoring, and operational support.

Preferred Qualifications

• •Experience with AI-driven MDM, FERN matching, or Customer 360 initiatives.
• •Experience with enterprise-scale SaaS or subscription-based platforms.
• •Exposure to modern data architecture, Lakehouse platforms, and streaming technologies.
• •Experience working in Agile and/or Waterfall delivery models.
• •Understanding of data governance, stewardship, and operational monitoring frameworks.

Nice to Have

• •Exposure to Agentic AI and AI-powered customer intelligence platforms.
• •Experience with metadata management and enterprise data governance tools.
• •Knowledge of enterprise architecture review and governance processes.