Platform Solutions Architect

ppVisium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale. /ppWe’re not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won’t get adopted. Not a product company chasing problems it doesn’t understand. We’re all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. /ppWe’re obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don’t bolt AI onto broken workflows; we redesign them with AI at the core. /ph3Role /h3pA Platform Solutions Architect building a data platform is responsible for defining and driving the end-to-end architecture, technical strategy, and scalability of the platform to enable reliable data and AI use cases across the organization. /ppYou act as a technical leader and advisor across AI, data, and cloud initiatives. /ph3Your responsibilities will include: /h3ulliDesign the target architecture for the data platform (data ingestion, storage, processing, governance, orchestration, access) /liliTranslate business and product requirements into scalable technical solutions /liliDefine platform standards, cloud architecture, security, and operating models /liliLead decisions on technology selection, integration patterns, and platform evolution /liliEnsure the platform is reliable, cost-efficient, secure, and maintainable /liliPartner with engineering teams and stakeholders to guide implementation and accelerate adoption /li /ulh3Requirements /h3ulli8+ years of experience in Data Platform Engineering, Cloud Architecture, or a similar role, with experience building scalable data platforms. /liliProven experience designing cloud-native data platforms based on client and business requirements. /liliDeep expertise in Azure, including Azure Databricks, Azure ML, Cognitive Services, and related data services. /liliPartner closely with the AI Solutions Architect to design and deliver AI/ML solutions as a strategic technical counterpart. /liliHands‑on experience with Terraform and Infrastructure as Code (IaC). /liliExperience building CI/CD pipelines for infrastructure and application deployment. /liliStrong understanding of cloud networking and security, including IAM, encryption, and governance. /liliAbility to influence senior stakeholders and communicate technical strategy effectively. /liliStrong collaboration and mentoring skills with cross‑functional engineering teams. /li /ulh3Benefits /h3ulliA competitive compensation package /liliA yearly education budget to steep your learning curve /liliA yearly sport budget because a fit body leads to a fit mind /liliA flexible working culture because your work-life balance matters to us /liliA position that enables you to have an impact on 1'000s of people, and the whole company's growth /liliAn international, knowledgeable, and passionate team with a strong collaborative mindset /li /ulpCheck our LinkedIn and website to learn more about us don’t hesitate to contact us if you have any questions. /p /p #J-18808-Ljbffr