Data Architect (Databricks)

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

Role As a Data Architect, you will own the data architecture of the Databricks lakehouse platforms we build for clients, primarily on Azure: ingestion, modelling, storage, governance and serving for analytics and AI use cases.

Responsibilities

• Design and own end-to-end Databricks lakehouse architectures, from ingestion to serving, and take them to production.
• Set the data modelling standards and best practices (medallion architecture, dimensional modelling, Data Vault) that teams across Visium adopt.
• Act as lead architect on client projects, owning architecture decisions with senior client stakeholders and being the main contact for technical platform questions.
• Work closely with data engineers, data modellers, analytics teams, AI Platform/Solution Architects and business stakeholders.
• Ensure governance (Unity Catalog), security, performance and cost-efficiency of the platforms you design.
• Contribute to Visium's strategy for data platforms, including how we deploy and manage them.
• Be accountable for the successful delivery of projects, cover the technical part of RFPs and support presales.

To succeed in this role

you bring a combination of expertise, experience, and skills including:

• 8+ years in data engineering and data architecture, having started as a data engineer, on large cloud data platforms (lakehouse, warehousing, analytics).
• Deep expertise in data architecture and data modelling for analytics and AI use cases, including lakehouse and data warehousing, medallion architecture, dimensional modelling and Data Vault.
• Hands-on experience designing Databricks lakehouses (Unity Catalog, Delta Lake) and running them in production.
• Azure strongly preferred, AWS /GCP exposure is an advantage.
• Experience leading data engineers and/or data modellers and setting standards others adopt.
• Experience in a client‑facing architecture role (consultancy, partner or vendor) owning architecture decisions with senior stakeholders, with excellent communication skills.
• Proven ability to translate business requirements into robust, end‑to‑end technical solutions.
• Nice to have Databricks or Azure certifications at data engineer or architect level Microsoft Fabric experience alongside Databricks SAP integration experience Pharma or life-sciences exposure

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.