Lead - Data Platform Engineering

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.

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

Requirements

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, 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; Strong analytical, problem-solving, and communication skills; Experience supporting production systems, deployments, monitoring, and operational support

Nice to have

Hands-on experience in Python, Java, or Scala; 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; 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