Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform

Role Summary

We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems.

Key Responsibilities

• Enable cross-system interoperability between ERP platforms
• Standardize enterprise master and transactional data
• Support ERP modernization and migration initiatives
• Provide the data backbone for enterprise analytics, AI, and automation

Why This Role Matters

Enterprise organizations often operate across multiple ERP systems and business platforms, each with different schemas, definitions, and data semantics. Without proper harmonization, data becomes fragmented and unreliable for operations, analytics, and decision-making.

Professional Experience Required

• Skills & Experience
• 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development
• Experience working with enterprise ERP systems, such as: Sage ERP platforms, Baan / Infor LN, Oracle ERP / Oracle Fusion, NetSuite or other SaaS ERPs
• Experience supporting ERP transformation, migration, or multi-system integration initiatives
• Technical Skills
• Advanced SQL
• Strong Python for data engineering workflows and pipeline development
• Data Engineering Experience building ETL/ELT pipelines
• Experience processing large-scale enterprise datasets
• Familiarity with modern data architectures and distributed processing
• Data Modeling
• Strong understanding of: Relational data models, Dimensional models, Canonical enterprise data models, ERP Data Knowledge
• Understanding of ERP business domains including: Finance, General Ledger, Accounts Payable / Receivable, Financial transactions, Supply Chain, Materials and product data, Procurement and vendor management, Inventory and logistics, Enterprise Master Data, Customers, Vendors, Products, Organizational structures

Behavioral & Problem-Solving Expectations

• Systems Thinking
• Ability to understand complex enterprise systems and business processes, and design data solutions that work across multiple platforms.
• Translating Business Logic into Technical Solutions
• Capability to work with functional teams and convert business rules into scalable data transformation logic.
• Data Problem Solving
• Strong analytical skills to diagnose and resolve enterprise data challenges.
• Collaboration
• Comfortable working with cross-functional teams including engineers, ERP functional consultants, and business stakeholders.
• Ownership and Execution
• Ability to take ownership of complex data problems and deliver production-grade solutions that scale across enterprise environments.