Data Architect

Reposted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design and lead scalable, secure Azure-based data platforms and architectures. Define data models, standards, governance, and best practices. Guide technical trade-offs, collaborate with engineering and analytics teams, ensure performance, security, and cost-efficiency, and contribute to long-term data strategy and platform evolution.
Summary Generated by Built In

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 (Azure preferred).
  • 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.

Skills Required

  • 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.
  • Experience with Azure.
  • 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.
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The Company
HQ: Lausanne
74 Employees
Year Founded: 2018

What We Do

Visium is a leading Swiss AI & Data consultancy helping enterprises unlock the full business value of AI. We combine deep technical expertise with a strong consulting foundation to design and deliver strategic, scalable, and compliant AI solutions. We've delivered over 150 AI solutions for some of the world’s leading enterprise, helping them drive efficiency, unlock new revenue streams, and scale solutions that deliver long-term value. From strategy to deployment, our mission remains the same – to build AI that drives measurable, responsible impact at scale. We believe in using AI as a force for good. Through our Visium4Good initiative, we support NGOs and social impact projects on a pro bono basis, using AI to drive positive change where it’s needed most.

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