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.

Your responsibilities will include:

• 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

To succeed in this role, you bring a combination of expertise, experience, and skills including:

• 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

What we offer

• 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

Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.