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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design data and AI platform architectures and implement them with your team
Take ML and GenAI solutions from prototype to production readiness
Lead data engineering work to make data AI-ready in flagship projects
Design scalable cloud solutions on AWS, Azure, and GCP
Support pre-sales, shape service offerings and educate clients on data and AI
You design sophisticated architectures for data and AI projects, implementing them together with your team
You take ML and GenAI solutions from prototype to production readiness
You lead your team to success in flagship projects with solid data engineering knowledge
In the cloud, you design scalable solutions on AWS, Azure, and GCP
engage in pre-sales, and stay on top of market trends. You actively contribute to the growth of internal talent and educate clients on data and AI possibilities
From the employer’s posting.
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- You hold a technical degree in Computer Science, Mathematics, or a comparable field. - You are proficient in technologies such as Python, Spark, Iceberg, Delta Lake, dbt, and streaming with Kafka, as well as the data and AI platform services of Databricks, Microsoft Fabric and Foundry, Amazon SageMaker, or Snowflake, and you are familiar with GenAI tooling such as vector stores and agent frameworks. What we offer
- Methodology & Concepts: You possess a deep understanding of data & AI platforms, data products, data mesh, data security, and data & AI governance, along with a strong agile DevOps, DataOps, and MLOps mindset. - Cloud Expertise: You feel at home in both cloud and on-premises environments. In the cloud, you design scalable 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 that make data AI-ready.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
The role
As a Lead Data & AI Architect, you are responsible for architecting data and AI platforms that lay the foundation for advanced applications, from analytics to generative and agentic AI. You explain architectural choices in a way that resonates with stakeholders and inspire them with your vision. Your deep understanding of modern data platforms, security, and AI governance, coupled with a DevOps mindset, enables you to create sustainable, value-driven solutions. With a concept-driven approach and practical engineering skills, you empower your team to succeed in high-impact projects. You bring data integrations, analytical data products, machine learning, and agentic systems into production and implement principles such as transparency, reproducibility, and measurable quality. Whether on-premises or in the cloud, you design solutions that fit the client’s context and leverage leading platforms. As a thought leader, you help shape Zühlke’s offerings, drive service development, engage in pre-sales, and stay on top of market trends. You actively contribute to the growth of internal talent and educate clients on data and AI possibilities.
How you’ll make an impact
What’s important to us
What we offer
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.
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