Lead - Data Platform Engineering

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 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 (RCA). 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. 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 & Merge Survivorship Identity Resolution Hierarchy Management Data Governance Hands-on experience with one or more MDM platforms such as: Reltio Informatica MDM 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 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. At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.