Data 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 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. Requirements 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. 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.