You will design and manage the ML/AI lab environment, ensuring secure and efficient workflows while supporting data scientists and adhering to governance standards to drive AI innovation.
Anforderungen
- •Academic degree in Computer Science
- •Azure Solutions Architect Certification preferred
- •Databricks Certified Data Engineer preferred
- •Several years in data platform architecture
- •Some years focused on Databricks or similar
- •Deep understanding of Databricks architecture
- •Knowledge of Spark, Unity Catalog, Delta Lake
- •Experience with Azure DevOps and Terraform
- •Familiarity with CI/CD pipelines
- •Proven experience designing scalable environments
- •Familiarity with TOGAF or similar frameworks
- •Structured approach to solution design
- •Experience leading cross-functional initiatives
- •Experience working in international teams
- •Business fluent in English
- •Strong cross-functional alignment skills
- •Proactive and solution-oriented mindset
- •Applications from severely handicapped people welcome
Deine Aufgaben
- •Design and evolve the ML/AI lab environment on Azure Databricks.
- •Architect core infrastructure for ML/AI workflows.
- •Define lifecycle stages for environment management.
- •Enable self-service orchestration for data scientists.
- •Ensure compliance with security and governance standards.
- •Implement best practices for platform design.
- •Drive technical excellence in the AI innovation pipeline.
Deine Vorteile
Training opportunities
Mobile and flexible working
Sabbaticals
Much more
Original Beschreibung
## Job Description
Are you passionate about creating scalable, secure, and future-ready lab environments for AI and ML experimentation? Do you thrive at the intersection of cutting-edge cloud technologies and enterprise-scale innovation?
Join us as an **IT Architect – Lab Environment** and play a pivotal role in designing and operating a modern data experimentation platform on **Azure Databricks**. You will directly enable our global teams to accelerate AI and ML innovation while ensuring governance, cost efficiency, and platform reliability.
**What You’ll Do:**
* Design and evolve the enterprise-wide ML/AI lab environment on **Azure Databricks** to enable scalable, secure, and governed experimentation.
* Architect the core infrastructure that supports **end-to-end ML/AI workflows**, from ideation to industrialization.
* Define **environment lifecycle stages**, including provisioning, versioning, and decommissioning.
* Enable **self-service orchestration** and standardized experimentation workflows for data scientists and ML engineers.
* Ensure alignment with **security, governance, and DevOps** standards in collaboration with platform and architecture teams.
* Implement **best practices** for modular, reusable, and cost-efficient platform design.
* Serve as a key enabler in the company’s **AI innovation pipeline**, driving technical excellence and operational reliability.
## Qualifications
* Academic degree in Computer Science, Data Engineering, or related fields. Preferred: Azure Solutions Architect Certification, Databricks Certified Data Engineer or Architect
* Several years in data platform architecture, with some years focused on Databricks or similar ML/AI platforms
* Deep understanding of Databricks architecture, Spark, Unity Catalog, Delta Lake, Azure DevOps, Terraform, CI/CD pipelines
* Proven experience designing scalable, secure environments for ML/AI experimentation and delivery
* Familiarity with frameworks like TOGAF or similar and a structured approach to solution design
* Experience leading cross-functional technical initiatives and collaborating with diverse teams
* Experience working in international teams across multiple time zones and cultures
* Business fluent in English (written & spoken)
* Strong cross-functional alignment skills with experience working in global, multicultural teams
* Takes ownership and accountability, demonstrating a proactive and solution-oriented mindset
Applications from severely handicapped people are welcome.
## Additional Information
The well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:
* Training opportunities
* Mobile and flexible working models
* Sabbaticals
* and much more...
Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.