About the role
Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our 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, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations. Fresh vision. Real impact. Come build it with us. We are looking for 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. The ideal candidate should possess strong expertise in MDM architecture, cloud technologies, data engineering, and enterprise data governance with hands-on technical leadership experience. 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 & 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