Lead - Data Platform Engineering
Freshworks•2w ago
Chennai, inOnsiteFull-timeSenior Level5+ yrs exp
Top focus
Vp EngineeringVp DataData AnalystPlatform EngineerData Engineer
- 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
- 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
- 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
- deliver enterprise-scale Master Data Management (MDM) and Data Platform solutions. The role will focus on Customer 360, data quality, identity resolution, governance
- cloud-native MDM initiatives across enterprise systems. The ideal candidate should possess strong expertise in MDM architecture, cloud technologies, data engineering
- enterprise data governance with hands-on technical leadership experience. Key Responsibilities Design, develop
- 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
- workflow configurations within MDM platforms. Build and optimize data pipelines, integrations, mappings
- workflows across CRM, billing, analytics
- downstream systems. Drive data quality initiatives including profiling, cleansing, standardization, enrichment
- duplicate resolution. Design and develop identity resolution frameworks using enterprise-grade matching algorithms and governance processes. Collaborate with business stakeholders, architects, vendors
- engineering teams to translate business requirements into scalable technical solutions. Support Customer 360 and AI-ready data foundations leveraging FERN matching, entity resolution
- governance frameworks. Develop and support production jobs, operational monitoring, deployment activities
- root cause analysis (RCA). Plan infrastructure scalability, reliability
- operational readiness for enterprise data platforms. Create data quality rules, workflows, dashboards
- stewardship processes. Contribute to release planning, estimations, production support
- continuous platform improvements. Mentor junior engineers and contribute to engineering best practices and technical excellence.
- Bachelor’s degree in engineering, Computer Science
- equivalent practical experience. 8+ years of experience in Data Engineering, MDM
- 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
- duplicate detection. Expertise in SQL and enterprise data platforms such as: Databricks Other modern data warehouses Strong experience with cloud technologies including AWS, GCP
- Azure. Experience building scalable ETL/ELT pipelines and enterprise data integrations. Hands-on experience in Python, Java
- Scala is preferred. Strong analytical, problem-solving
- communication skills. Experience supporting production systems, deployments, monitoring
- operational support. Preferred Qualifications Experience with AI-driven MDM, FERN matching
- Customer 360 initiatives. Experience with enterprise-scale SaaS or subscription-based platforms. Exposure to modern data architecture, Lakehouse platforms
- streaming technologies. Experience working in Agile and/or Waterfall delivery models. Understanding of data governance, stewardship
- 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
- passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions
- 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
- business. Fresh vision. Real impact. Come build it with us.
Required skills
PythonJavaScalaDatabricksAWSGCPAzureAgile