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
As a Data Architect, you will design and shape scalable, secure, and business-driven data platforms on Azure. You act as a technical reference for data architecture decisions across complex environments. You collaborate closely with engineers, stakeholders, and leadership to turn data strategy into reality.
Your responsibilities will include:
• Design end-to-end data architectures (data platforms, pipelines, storage, analytics).
• Define data models, standards, and best practices for scalability and governance.
• Lead architectural decisions and support complex technical trade-offs.
• Work closely with data engineers, data modelers, analytics teams, and business stakeholders.
• Ensure security, performance, and cost-efficiency of data solutions.
• Contribute to data strategy and long-term platform evolution.
To succeed in this role, you bring a combination of expertise, experience, and skills including:
• 8+ years of experience in data architecture and/or data engineering roles, with exposure to complex, large-scale data platforms.
• Deep expertise in data architecture and data modeling, including lakehouse and modern analytics architectures.
• Strong experience designing and delivering scalable, cloud-native data platforms in Azure is a must.
• Experience with either Databricks or Microsoft Fabric is required; experience with both is a strong advantage.
• Proven ability to translate business requirements into robust, end-to-end technical solutions.
• Solid understanding of data warehousing, analytics, and data-driven use cases.
• Excellent communication skills, with experience interacting with senior-level stakeholders and leading technical discussions.