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.

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. 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 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.