Note: The job is a remote job and is open to candidates in USA. KYG Trade™ is an AI-native global trade and tariff management SaaS company that helps enterprises manage trade compliance, tariff optimization, screening, and supply chain traceability. The Customer Data Solutions Engineer will lead customer data onboarding from discovery through production readiness, designing mappings, pipelines, transformations, validations, migrations, and integrations for complex enterprise data.
Responsibilities
- 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
- Execute test loads, migration rehearsals, cutover activities, row-level and relationship-level reconciliation, defect resolution, and post-load verification
- Support user acceptance testing by preparing test data, tracking defects or configuration gaps, validating expected outcomes, documenting findings, and coordinating follow-up with internal teams
- Track data-related risks and blockers across implementations, escalate issues early, and help maintain RAID logs, action trackers, and implementation status materials
Skills
- 5+ years of experience in Fortune 1000 customer-facing data engineering, data migration, enterprise SaaS onboarding, systems integration, implementation engineering, solutions engineering, or a closely related role
- Ability to profile messy customer data, identify semantic and quality gaps, define transformation logic, and produce precise, testable mapping specifications
- Experience with enterprise master data, Bills Of Material (BOM) data, reference data, lists of values, organizational hierarchies, user models, RBAC, permissions, and data governance concepts
- Strong documentation and delivery discipline, including mapping workbooks, data dictionaries, validation evidence, issue logs, technical decisions, runbooks, and cutover materials
- Ability to work cross-functionally with Customer Success, Project Management, Product, Engineering, AI, Managed Services, Sales, Forward Deployed Trade Engineers, Security, and trade subject matter experts in a fast-moving environment
- Ability to manage multiple customer data workstreams, prioritize risks, and maintain accuracy under tight deadlines
- Experience in global trade management technology, customs brokerage, global trade consulting, import/export compliance, or supply chain technology (SAP GTS, SAP E4H, Oracle GTM, Thomson Reuters ONESOURCE, E2Open/WiseTech, Descartes, MIC, Altana, Sayari, Kharon, S&P)
- Familiarity with product classification, country of origin, FTA qualification, BOMs, supplier data, forced labor/UFLPA, restricted party screening, export controls, licensing, tariff management, or supply chain ESG traceability
- Experience with Azure data services, integration platforms, orchestration tools, data quality frameworks, CI/CD, version control, automated testing, monitoring, and observability
- Experience handling data residency, data sovereignty, cross-border data movement, security, privacy, or access-control requirements in multinational enterprise environments
- Familiarity with AI-assisted data enrichment, human-in-the-loop review, or automation of data onboarding workflows
Benefits
- Onsite Irvine, CA/Hybrid/Remote; US Based
- Bonus eligibility
- Equity participation aligned to experience, technical depth, customer-facing capability, and impact
- Growth opportunity toward senior and principal-level customer data engineering or customer data architecture leadership as the organization scales
Company Overview