Customer Data Solutions Engineer

Customer Data Solutions Engineer

Full-Time | Onsite Irvine, CA/Hybrid/Remote | US Based

KYG TRADE™

AI-Native Global Trade & Tariff Management SaaS | Recognized 2025 Gartner® Cool Vendor

Full-Time | Onsite Irvine, CA/Hybrid/Remote | US Based

KYG Trade™ (Know Your Goods) is an AI-native, enterprise-grade Global Trade and Tariff Management (GTM²) platform that turns trade compliance complexity into clarity. Recognized in the 2025 Gartner® Market Guide for Global Trade Management, KYG Trade™ delivers expert-trained AI across import and export compliance, tariff optimization, forced labor/UFLPA, FTA qualification, restricted party screening, and supply chain traceability, all on a single platform.

KYG Trade™ integrates with enterprise ecosystems including SAP ERP, ECC, S/4

HANA, GTS, E4H, Oracle ERP, PTC Windchill, Siemen’s Team Center, Bamboo Rose, and other leading ERP, PLM, TMS, data, and risk systems, enabling customers to deploy trade controls and workflow automation in complex global environments.

The Customer Data Solutions Engineer is a customer-facing, hands-on technical delivery role responsible for transforming complex enterprise data into trusted, production-ready data structures within the KYG Trade™ platform. This person represents KYG directly with enterprise customers and works alongside Customer Success, Product, Engineering, Forward Deployed Trade Engineers, import/export subject matter experts, and customer technology teams to move data from discovery through mapping, transformation, validation, loading, testing, and go-live.

The role is centered on customer data, not general project management. You will analyze federated structured and unstructured data sources, define source-to-target mappings, build repeatable data pipelines and automations, and map customer fields, relationships, and lists of values (LOVs) into KYG Trade™ data tables and APIs.

The ideal candidate combines strong customer presence with an engineer’s bias for execution. You can lead a technical data mapping workshop with senior customer stakeholders, translate ambiguous requirements into precise mapping and transformation rules, and then roll up your sleeves to build, test, troubleshoot, document, and improve the customer onboarding experience.

• Own the customer data onboarding workstream from source discovery and profiling through mapping, transformation, validation, migration, reconciliation, and production readiness.
• Analyze structured and unstructured customer data from federated sources, including ERP, PLM, TMS, broker, supplier, spreadsheet, document, database, API, and other enterprise systems.
• Help customers understand data dependencies and downstream operational impacts by explaining how data quality affects classification, FTA/origin analysis, screening, supplier engagement, audit records, and reporting outcomes.
• Design and implement bidirectional data mappings for batch, file-based, and API integrations, including transformation logic, validation rules, error handling, and traceable data lineage.
• Model complex enterprise structures, including legal entities, geographic regions, business units, divisions, domains, products, suppliers, facilities, users, roles, permissions, and internal versus external access.
• Prepare, cleanse, standardize, deduplicate, and validate product, material, BOM (both hierarchy and flattened), supplier, classification, origin, FTA, import, export, screening, licensing, transaction, and workflow data.
• Configure and validate customer-specific LOVs, reference data, attributes, hierarchies, trade objects, relationships, workflows, roles, and permissions in partnership with internal platform teams.
• Exe…