Enterprise Architect

Position: Enterprise Architecture / Solution Architecture

Company: Gosoft (Thailand) Co., Ltd.

Location: THE TARA Building, 58/28 Moo 2 Chaengwattana Rd., Bang Talad, Pakkred, Nonthaburi 11120, Thailand

Role Summary

We are looking for a Lead Solution Architect to set the technical direction for large-scale retail and enterprise platforms across the CP ALL Group. This is a hands-on leadership role: you will own end-to-end solution designs, arbitrate the trade-offs that delivery teams cannot resolve on their own, and raise the architectural standard of the wider engineering organization.

Key Responsibilities

Architecture Strategy & Governance

· Define target-state architecture and multi-year technology roadmaps for assigned business domains, aligned to CP ALL Group strategy and Gosoft's enterprise architecture principles.

· Establish and maintain architecture standards, reference architectures, design patterns and technology guardrails; keep them current as the landscape evolves.

· Chair or contribute to the Architecture Review Board — review and approve solution designs, ensuring compliance with security, data-privacy (PDPA), regulatory and operational requirements.

· Own the technology radar: evaluate emerging platforms and vendors, run proofs of concept, and make evidence-based adopt / trial / hold recommendations.

· Actively manage technical debt — maintain a visible register, quantify its business impact, and secure funding for remediation within the delivery portfolio.

Solution Design & Delivery

· Lead end-to-end architecture for complex, cross-domain programmes: requirement analysis, solution options, trade-off analysis, high-level and detailed design, and non-functional requirements.

· Produce clear architecture artefacts — context and container diagrams, sequence flows, data models, integration contracts, deployment topologies and Architecture Decision Records (ADRs).

· Define non-functional requirements (availability, scalability, latency, RPO/RTO, observability, security) and validate that delivered solutions meet them under peak retail load.

· Remain hands-on where it matters: prototype critical components, review code and infrastructure-as-code at key checkpoints, and troubleshoot high-severity production architecture issues.

· Partner with delivery leads on estimation, sequencing, dependency management and release strategy; keep architecture decisions in step with delivery reality.

Retail, Commerce & Enterprise Systems

· Architect solutions across the retail value chain — POS and store systems, omnichannel commerce, order management, delivery and fulfilment, loyalty, payments, merchandising, supply chain and ERP.

· Design for the operational realities of a 15,000-store estate: intermittent connectivity, edge and offline-first store systems, phased nationwide rollout, and zero-downtime migration from legacy platforms.

· Lead modernisation of legacy and monolithic systems, defining pragmatic decomposition, strangler-pattern migration and coexistence strategies.

· Evaluate build-versus-buy decisions and lead technical due diligence on vendor and package solutions, including commercial and lock-in considerations.

Cloud, Platform & Integration

· Define cloud and hybrid architecture patterns across public cloud and Gosoft's Tier IV data centre, including workload placement, resilience, disaster recovery and cost optimisation (FinOps).

· Architect cloud-native and microservices solutions using containers and orchestration (Docker, Kubernetes/OpenShift), service mesh, and event-driven patterns with Kafka or equivalent streaming platforms.

· Own the enterprise integration and API strategy — API gateway and management, REST/GraphQL/gRPC standards, messaging, and canonical data contracts between domains.

· Embed DevSecOps and platform-engineering practice: CI/CD, infrastructure as code, automated testing, progressive delivery, observability, and security scanning across the SDLC.

· Design for security by default: zero-trust principles, identity and access management, secrets management, encryption, and secure-by-design review of every solution.

Data & AI

· Architect enterprise data platforms — data lakehouse, warehousing, batch and real-time pipelines, master data management and data governance across retail and customer domains.

· Define architecture for analytics, BI and machine-learning workloads, including MLOps pipelines, feature stores, model serving and monitoring.

· Design and govern the adoption of AI and generative-AI capabilities (RAG, agentic workflows, LLM integration), with clear guardrails for data privacy, cost, evaluation and responsible use.

· Ensure data architecture supports PDPA compliance, data lineage, quality and retention requirements end to end.

Qualifications & Experience Required

· Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology or a related field.

· 8+ years in software engineering and solution architecture, including at least 3 years in a lead, principal or enterprise architect capacity.

· Demonstrable track record architecting and delivering large-scale, high-availability, high-transaction-volume systems in production.

· Deep expertise across distributed systems, microservices, event-driven architecture, API design and integration patterns.

· Strong hands-on background in at least one major stack (Java/Spring Boot, .NET, Node.js, Go or Python) and the ability to review code credibly.

· Production experience with public cloud (AWS, Azure or GCP), containers and Kubernetes, and infrastructure as code (Terraform, Helm or equivalent).

· Solid grounding in data architecture — relational and NoSQL databases, streaming (Kafka), data warehousing/lakehouse, and modern data pipeline design.

· Working knowledge of security architecture, identity and access management, and Thailand's PDPA and related regulatory requirements.

· Proven ability to produce clear architecture documentation and to influence stakeholders from engineer to executive level.

· Professional working proficiency in English and Thai.