Lead Data Architect - #2131692

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

How You’ll Make Impact

• Architecture & Implementation: You design sophisticated architectures for data and AI projects, implementing them together with your team while inspiring your stakeholders.
• Methodology & Concepts: You possess a deep understanding of data platforms, data mesh, data security, and governance, along with a strong agile DevOps and DataOps mindset.
• Cloud Expertise: You feel at home in both cloud and on-premise environments. In the cloud, you design optimal solutions on AWS, Azure, and GCP.
• Data Engineering: You lead your team to success in flagship projects with solid data engineering knowledge, ensuring optimal data structures and pipelines.
• ML Operationalization: You take data and AI projects from prototype to production readiness, focusing on traceability, transparency, and reproducibility.
• Thought Leadership & Consulting: You promote understanding of AI and data technologies, share your knowledge both internally and externally, and assist in the development of young talents.
  
  

What’s Important To Us

• You bring solid expertise in AI and data solutions, along with a deep understanding of their possibilities and limitations.
• You have a passion for sustainable software architecture in data platforms and have taken on responsibility in technical mandates.
• With your confident demeanor and strong self-motivation, you take responsibility for projects and the further development of our data and AI competencies.
• Excellent communication skills in both German and English are essential.
• Your architectural decisions consider non-functional requirements such as availability, flexibility, and security, as well as economic aspects and their impact on the code level.
• You hold a technical degree in Computer Science, Mathematics, or a comparable field.
• You are proficient in technologies such as Apache Spark, Kubernetes, Docker, SQL, and the data platform services of Azure, AWS and Databricks.
  
  

What we offer

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home
• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year
• Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
• Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.
  
  

To dive deeper into local benefits of working in Zühlke follow the link

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.