Job Summary
Retail Solution Architects to design and govern end-to-end solutions across the retail value chain—Supply Chain & Logistics, Store Technology, Merchandising, eCommerce/Digital, and enabling capabilities including AI/ML, data platforms, integration, and cloud. You will translate business outcomes into secure, scalable, and resilient architectures, partnering closely with product, engineering, data, security, and operations teams.
Key Responsibilities
Architecture & Solution Design
Lead solution architecture for initiatives across supply chain, stores, merchandising, and digital platforms.
Produce and maintain architecture deliverables: high-level designs, integration flows, sequence diagrams, data flows, NFRs, deployment views, and architecture decision records (ADRs).
Define target-state architectures and transition roadmaps aligned to enterprise standards.
Ensure solutions meet non-functional requirements: availability, performance, resiliency, scalability, security, and operability
Retail Domain Enablement (Cross-domain)
Architect solutions across domains including:
Supply Chain & Logistics: demand planning, replenishment, inventory visibility, WMS/TMS integration, ASN, yard management, DC automation, last-mile.
Store Technology: POS, store inventory, handhelds, RFID, edge solutions, offline/nearline patterns, store networking.
Merchandising: PIM, pricing & promotions, assortment planning, vendor onboarding, space/category analytics.
Digital & Omnichannel: eCommerce, order management, fulfillment orchestration (BOPIS/ship-from-store), returns, customer identity.
Cloud, Data, Integration & AI
Design cloud-first solutions using Azure and/or Google Cloud architecture best practices.
Architect enterprise integration using APIs, event-driven patterns, streaming, and batch.
Partner with data and AI teams to enable:
AI/ML lifecycle architecture (training pipelines, deployment patterns, inference)
GenAI-enabled use cases with responsible AI guardrails
Advanced decisioning for forecasting, pricing, inventory, personalization, and fraud.
Promote strong data architecture practices: domain-aligned models, master/reference data, lineage, and privacy.
Governance, Standards & Delivery Enablement
Participate in and lead architecture reviews; provide guardrails without slowing delivery.
Define and promote reusable reference architectures and patterns.
Ensure secure-by-design and operationally ready solutions in partnership with security and SRE teams.
Mentor engineers and analysts; contribute to architecture and engineering communities of practice.
Stakeholder Partnership & Influence
Work with Product, Engineering, and Business leaders to shape solution options and trade-offs.
Clearly communicate architectural intent, risks, and decisions to both technical and non-technical audiences.
Act as a trusted advisor during delivery and planning.
Skill Requirements
Architecture modeling (C4, UML, sequence/data flows, domain models).
Supply Chain & Logistics, Store Technology, Merchandising, eCommerce/Digital, and enabling capabilities including AI/ML, data platforms, integration, and cloud.
Strongly preferred
Experience with retail enterprise platforms such as OMS, POS, WMS/TMS, ERP, PIM, pricing or promotion engines.
Data platform and analytics architecture experience (lakehouse/warehouse patterns, streaming).
AI/ML or GenAI architecture exposure, including deployment, monitoring, and responsible AI considerations.
Store edge computing or offline-first architecture experience.