Platform Solutions Architect

Visium 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. We'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. We'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. Role: A 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. You act as a technical leader and advisor across AI, data, and cloud initiatives.

Responsibilities

Design the target architecture for the data platform (data ingestion, storage, processing, governance, orchestration, access); Translate business and product requirements into scalable technical solutions; Define platform standards, cloud architecture, security, and operating models; Lead decisions on technology selection, integration patterns, and platform evolution; Ensure the platform is reliable, cost-efficient, secure, and maintainable; Partner with engineering teams and stakeholders to guide implementation and accelerate adoption.

Requirements

8+ years of experience in Data Platform Engineering, Cloud Architecture, or a similar role, with experience building scalable data platforms; Proven experience designing cloud-native data platforms based on client and business requirements; Deep expertise in Azure, including Azure Databricks, Azure ML, Cognitive Services, and related data services; Partner closely with the AI Solutions Architect to design and deliver AI/ML solutions as a strategic technical counterpart; Hands-on experience with Terraform and Infrastructure as Code (IaC); Experience building CI/CD pipelines for infrastructure and application deployment; Strong understanding of cloud networking and security, including IAM, encryption, and governance; Ability to influence senior stakeholders and communicate technical strategy effectively; Strong collaboration and mentoring skills with cross-functional engineering teams.

Benefits

A competitive compensation package; A yearly education budget to steep your learning curve; A yearly sport budget because a fit body leads to a fit mind; A flexible working culture because your work-life balance matters to us; A position that enables you to have an impact on 1’000s of people, and the whole company's growth; An international, knowledgeable, and passionate team with a strong collaborative mindset