Data Architect

Visium SA

Lausanne, Switzerland3w ago

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Key details

Location
Lausanne, Switzerland
Work style
Onsite
Level
Senior
Job type
Full-time
Experience
8–11 yrs
Function
Data & ML
Focus area
Data engineering & Analytics
Posted
3w ago

Skills

azuredata architecturedata engineeringdata modelingdata warehousingdatabrickslakehousemicrosoft fabric

About the role

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.

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