Lead - Data Platform Engineering

📋 Description

• We are looking for highly skilled Data Platform Engineer to design, develop, and deliver
• The role focuses on Customer 360, data quality, identity resolution, governance, and cloud-native
• Lead technical architecture discussions and drive high-quality engineering delivery.
• Design scalable data models, match & merge strategies, survivorship rules, hierarchies, and
• Build and optimize data pipelines, integrations, mappings, and workflows across CRM, billing
• Drive data quality initiatives including profiling, cleansing, standardization, enrichment, and

🎯 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
• Hands-on experience with one or more MDM platforms such as: Reltio, Informatica MDM, Other
• Strong experience in data quality management, profiling, cleansing, standardization, and duplicate
• Expertise in SQL and enterprise data platforms such as: Databricks, Other modern data warehouses.

🎁 Benefits

• 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.