Senior Azure Data Architect: Scale & Secure Data Platforms

Visium SA; Barcelona; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation package

Dedicated education budget

Sport budget

Flexible working culture

Impact at scale

International, collaborative team

Job summary

Visium, a company blending strategy, deep technical and integration expertise, is seeking a Data Architect to design scalable, secure data platforms on Azure. You will be a technical reference for data architecture decisions across complex environments and collaborate with engineers, stakeholders, and leadership to turn data strategy into reality.

Responsibilities include end-to-end data architectures, data models and governance, leading architectural trade-offs, and ensuring security,

Qualifications

• 8+ years in data architecture and/or data engineering roles.
• Deep expertise in 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.

Responsibilities

• 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.

Skills

Data architecture

Data modeling

Azure

Communication

Stakeholder engagement

Tools

Databricks

Microsoft Fabric

Azure

Job description

Visium, a company blending strategy, deep technical and integration expertise, is seeking a Data Architect to design scalable, secure data platforms on Azure. You will be a technical reference for data architecture decisions across complex environments and collaborate with engineers, stakeholders, and leadership to turn data strategy into reality.

Responsibilities include end-to-end data architectures, data models and governance, leading architectural trade-offs, and ensuring security,