Platform Solutions Architect — Data & AI Platform Leader

BE CLOUD; Lausanne; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Annual education budget

Annual sport budget

Flexible working culture

Impact on thousands of people

International team

Zusammenfassung

BE CLOUD Lausanne is seeking a Platform Solutions Architect to lead the end-to-end data platform architecture, strategy, and scalability across the organization.

You will translate business needs into scalable cloud-native solutions, define platform standards, and guide AI/data initiatives. This role partners with engineering, ensuring reliability, security, and cost-efficiency while accelerating adoption.

Qualifikationen

• 8+ years of experience in data platform engineering, cloud architecture, or similar roles.
• Proven design of cloud-native data platforms based on business requirements.
• Hands-on with Terraform and infrastructure as code.
• Experience building CI/CD pipelines for infra and apps.
• Strong cloud networking, security, IAM, encryption, and governance.

Aufgaben

• Design the target architecture for the data platform (ingestion, storage, processing, governance, orchestration, access).
• Translate business and product requirements into scalable technical solutions.
• Define platform standards, cloud architecture, security, and operating models.
• Lead decisions on technology selection, integration patterns, and platform evolution.
• Ensure the platform is reliable, cost-efficient, secure, and maintainable.
• Partner with engineering teams to guide implementation and accelerate adoption.

Kenntnisse

Data platform engineering

Cloud architecture

Azure cloud

Stakeholder influence

Mentoring

Tools

Terraform

CI/CD

Jobbeschreibung

BE CLOUD Lausanne is seeking a Platform Solutions Architect to lead the end-to-end data platform architecture, strategy, and scalability across the organization.

You will translate business needs into scalable cloud-native solutions, define platform standards, and guide AI/data initiatives. This role partners with engineering, ensuring reliability, security, and cost-efficiency while accelerating adoption.