Retail Solution Architect

Responsibilities

• 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
• Architect solutions across domains including: Supply Chain & Logistics, Store Technology, Merchandising, Digital & Omnichannel
• 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
• Participate in and lead architecture reviews; provide guardrails without slowing delivery
• Define and promote reusable reference architectures and patterns
• Mentor engineers and analysts; contribute to architecture and engineering communities of practice
• Work with Product, Engineering, and Business leaders to shape solution options and trade‑offs

Requirements

• 7+ years in technology with 3+ years in solution or technical architecture roles
• Experience delivering solutions across retail platforms (supply chain, stores, merchandising, and/or digital)
• Strong experience with API‑led and event‑driven integration architectures
• Hands‑on experience with cloud platforms (Azure and/or GCP) including networking, identity, and deployment models
• Strong understanding of security, resiliency, performance, and observability
• 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
• Architecture modeling (C4, UML, sequence/data flows, domain models)
• Strong analytical thinking and decision‑making
• Clear, concise written and verbal communication

Core Competencies

Demonstrates expertise in solution architecture across supply chain, merchandising, and digital platforms, with a strong focus on cloud‑first solutions using Azure and Google Cloud. Proficient in API‑led integration, data platform architecture, and mentoring engineering teams while ensuring adherence to non‑functional requirements.