Enterprise platform architect & tech lead

Ph3Your purpose at Stanley/Stella /h3 pStanley/Stella is accelerating its digital transformation to strengthen customer experience and scale its business platforms across an international ecosystem of decorators, resellers, and partners. /p pThe Enterprise Platform Architect Tech Lead acts as the company’s bsenior technical authority /b, reporting directly to the CIO. /p pThis role defines, governs, and continuously evolves the btechnology foundations of the enterprise /b ensuring coherence, scalability, resilience, and security across all platforms, integrations, and data capabilities. /p pThis is a bcross-cutting technical mandate /b not a functional management role with accountability for integrating, securing, and anticipating technologies across the organization. /p pThe role prevents fragmentation, avoids short-term decisions with long-term consequences, and translates emerging technologies into brobust, production-ready foundations /b. /p pA key and immediate priority is to blead the integration of AI technologies /b including RAG pipelines, agentic workflows, orchestration tools, low-code platforms, and API-based integrations across the company’s core stack: bInfor M3, HubSpot, Magento, Azure, and Power BI /b. /p h3Your role and impact /h3 pb1. Integrate and scale AI technologies /b /p ul liDesign and implement bRAG (Retrieval-Augmented Generation) /b architectures leveraging company data for intelligent search and decision support /li liAssess and deploy bagentic workflows /b orchestrating processes across ERP, CRM, and e‑commerce platforms /li liLeverage bN8N and similar orchestration tools /b to automate workflows across systems /li liDrive adoption of blow‑code / no‑code platforms /b within controlled and governed frameworks (e.g. Make, Bubble, Lovable) /li liEnsure bAPI‑first AI integration /b: reusable, composable, auditable services /li liLead proof‑of‑concepts and transform successful experiments into benterprise‑grade solutions /b /li liBuild and govern a bcentral AI and application toolkit /b, tracking usage and performance /li liEnable future AI use cases such as product recommendations, pricing optimisation, demand forecasting, process automation, intelligent customer interaction /li /ul pb2. Foster communities and drive adoption /b /p ul liBuild and lead bcommunities of practice /b across architecture, data, AI, and digital tools /li liPromote tools, standards, and good practices through bworkshops, documentation, and internal communication /b /li liEngage credibly with both btechnical and non‑technical stakeholders /b /li liAct as a btrusted voice /b on technology topics across the organisation /li /ul pb3. Integrate across the technology landscape /b /p ul liDefine and evolve the btarget architecture /b of the digital platform /li liEnsure bend‑to‑end integration /b across systems /li liGovern bdata flows, APIs, and shared services /b /li liDefine scalable bintegration patterns /b and eliminate point‑to‑point connections /li liSupport and challenge engineering teams and vendors bwithout becoming a bottleneck /b /li /ul pb4. Secure the foundations /b /p ul liIdentify and address bstructural technical debt /b early /li liBalance binnovation speed with long‑term sustainability /b /li liStructure bdata foundations /b as a shared enterprise capability (Azure Power BI) /li liEnforce best practices in security, resilience, performance, observability /li /ul pb5. Define and enforce standards, patterns, and documentation /b /p ul liDefine and govern barchitecture standards and design patterns /b across all domains /li liMaintain clear and usable barchitecture documentation /b (topology, data models, integrations, APIs, security) /li liEstablish guidelines for teams, vendors, and partners to ensure bconsistency across the ecosystem /b /li liOwn: decision logs, architecture review processes, pattern libraries /li liEnsure all major technical decisions are bdocumented, justified, and traceable /b /li liDefine bonboarding standards /b enabling fast and reliable integration of new teams and partners /li /ul pbScope Evolution /b /p ul libAzure Architecture Security: /b lead the Azure architect and security function, ensuring full alignment with enterprise standards and infrastructure strategy /li libSystem Administration: /b oversee the sysadmin function, ensuring platform stability, performance and operational security across all environments /li libTechnical Support Team: /b manage the technical support unit, driving service quality, incident resolution and operational continuity /li /ul h3About you /h3 pbExperience /b /p ul li10+ years in architecture / technical leadership roles in complex enterprise environments, with strong exposure to B2B and/or B2C commercial platforms, marketplace models and omnichannel customer experiences /li liHands‑on familiarity with ERP‑centric environments (Infor M3 or equivalent), CRM platforms (HubSpot or equivalent), e‑commerce platforms (Magento or equivalent), Azure cloud infrastructure and Power BI /li liProven track record of establishing and maintaining technical standards, architecture documentation and governance frameworks /li liProven track record of taking AI or automation initiatives from experimentation to production /li liExperience working across multiple IT domains in an international environment at different levels of maturity and execution velocity /li /ul pbShort‑Term Priority /b /p ul liE‑commerce (Magento) /li liCRM (HubSpot) /li liDigital and omnichannel experiences /li /ul pObjective: ensure the stack is bscalable, integrated, and ready to support future growth /b. /p pbTechnical Skills /b /p ul libArchitecture Governance: /b Enterprise platform architecture on Azure; API design management; event‑driven architecture; domain‑driven design (DDD); architecture documentation and decision record practices /li libPlatform Integration Stack: /b Infor M3 integration patterns; HubSpot API and CRM data model; Magento (Adobe Commerce) architecture; Azure services (hosting, networking, identity, monitoring); Power BI data flows and semantic layer /li libAI Automation: /b RAG pipeline design and deployment; AI agent frameworks; N8N or equivalent orchestration platforms; low‑code and no‑code integration platforms including evaluation of tools such as Lovable, Make and Bubble; LLM integration patterns and API‑based AI service design; knowledge graph and knowledge base design /li libData: /b Data modelling pipelines; semantic layer; analytics foundations; ML‑ready data preparation /li /ul pbLeadership Soft Skills /b /p ul liStrong technical authority — able to bset direction and maintain architectural integrity /b /li liPragmatic and solution‑oriented, with a blong‑term systemic vision /b /li liAbility to bsimplify complexity and support decision‑making at senior level /b /li liExcellent written communication — producing documentation that teams actually use /li liComfortable promoting technologies and best practices across the organisation /li liHigh adaptability in bcomplex, fast‑evolving environments /b /li liFluent in English; French and Dutch are strong assets /li /ul pIf you’re looking to bshape the core technology of a growing international company /b, and bring structure, clarity, and impact at scale — this is your role. /p /p #J-18808-Ljbffr