StellenbeschreibungpstrongVisium 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. /strong /p pWe'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. /p pWe'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. /p pstrongRole /strong /ppA 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. /p pYour responsibilities will include: /pulliDesign 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 /ulpstrongRequirements /strong /ppTo succeed in this role, you bring a combination of expertise, experience, and skills including: /p ullistrong8+ years of experience /strong in Data Platform Engineering, Cloud Architecture, or a similar role, with experience building scalable data platforms. /lili strongProven experience designing cloud-native data platforms /strong based on client and business requirements. /lili strongDeep expertise in Azure /strong, including Azure Databricks, Azure ML, Cognitive Services, and related data services. /lili strongPartner closely with the AI Solutions Architect /strong to design and deliver AI/ML solutions as a strategic technical counterpart. /lili strongHands-on experience with Terraform /strong and Infrastructure as Code (IaC). /lili strongExperience building CI/CD pipelines /strong for infrastructure and application deployment. /lili strongStrong understanding of cloud networking and security /strong, including IAM, encryption, and governance. /lili strongAbility to influence senior stakeholders /strong and communicate technical strategy effectively. /lili strongStrong collaboration and mentoring skills /strong with cross-functional engineering teams. /li /ul pstrongBenefits /strong /ppWhat we offer /pulliA 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 oura LinkedIn /a anda website /a to learn more about us don’t hesitate to contact us if you have any questions. /p
