Data Engineer

Role :- Data Architect with strong Retail and AWS Experience Location :- Plano, TX(Hybrid) (once in a 2 week or occasional basis) Hire Type : Contract Project Duration : 12+ months, with extension Job Description :- What you'll do: Design and enforce the canonical domain model (Product, Order, Customer, Cart, Inventory, Price, Payment) that all brands conform to Design the data pipelines connecting enterprise systems (ERP, OMS, Inventory, CRM, Pricing, payments) to the platform Design the data infrastructure to support future AI/ML workloads — tenant-partitioned feature stores, clickstream capture, entity resolution, data lineage, and PII governance Lead brand migration. Facilitate workshops with brand teams and upstream system owners to map existing data to the canonical model, identify gaps, and agree the migration path & data migration automation Present data architecture decisions as formal ADRs to the Architecture Review Board Partner with the Platform Architecture Lead as the data domain expert — drive the data workstream independently Tech stack: AWS, AWS (RDS PostgreSQL, ElastiCache, S3, EventBridge, Glue, DMS), Datastax Astra, Neptune, SageMaker Feature Store, EMR, Snowflake What you bring: Multi-tenant data isolation at scale Event-driven architecture and change data capture pipeline engineering Ecommerce domain modeling across order management, inventory, and pricing Snowflake or equivalent data warehouse/lakehouse technologies . schema design, partitioning strategies, and query optimization PCI-DSS and GDPR data compliance . classification, encryption, access controls, and audit trails for cardholder data and customer PII Java and Python proficiency AI/ML foundational knowledge . understanding of feature engineering, data pipelines for model training, and how data architecture decisions enable or constrain ML workloads