ML Operationalization: You understand how to successfully develop data and machine learning projects from the prototype phase into production and implement such concepts as traceability, transparency, scalability and measurability within a demanding project and technology environment
Architecture, Implementation: As a data platform architect, you will lay the foundations for state-of-the-art solutions of demanding machine learning projects. Subsequently, you will outline these to the relevant stakeholders to inspire them and secure their buy-in
Methodology, Concepts: You have a sound understanding of modern data platform architectures, data security and bring along the right Data Governance and DevOps mindsets
Concepts: In your work, you rely on your strong methodology and concept-driven approach to design an optimal and sustainable solution for the client. You contribute the knowledge gained in your mandates to further develop the methods and procedures
Cloud: You feel "at home" in the cloud and on-premises and you're able to design and implement the optimal customer solutions with GCP, AWS and Azure
Data Engineering: Your deep Data Engineering know-how allows you to successfully lead your team in our state-of-the-art/top-noth projects with the right methodologies, optimal data structures, data processing pipelines and data management strategies
Consulting, Training: You perceive Data Science and Machine Learning as a tool to master the challenges of the Digital Transformation of our clients and help them to understand their full potential
Solution & Offer development: You are an important exponent for data platforms, are active in the development of Zühlke services, position our offer on the market (pre-sales) and prepare offers. In addition, you are familiar with market trends and always keep an eye on current developments
Thought Leadership: take on a challenge of becoming a thought leader in the field of data platforms and continue to strategically advance the topic internally and externally. Share your knowledge with colleagues, train customers and help develop young talents
Your talent
Sound knowledge of different aspects of Data Science and Machine Learning solutions and a deep understanding of their possibilities and limitations
You're passionate about sustainable software architecture in the area of data platforms and have a proven track record of managing and working on technical projects
Thanks to your self-confidence in communication with customers and strong drive and passion, you're striving to take on responsibility in projects and in the further development of our data and machine learning capability. Excellent communication skills in German and English are a prerequisite
Your architecture decisions are significantly influenced by non-functional requirements such as availability, flexibility, stability, maintainability and security, combined with economic considerations. You know what concrete effects your architecture decisions have on the code level
You have a technical university degree (ETH, Uni) in Computer Science, Mathematics or in a comparable field; PhD in Machine Learning would be a big plus
Technologies: Be it Apache Airflow, Apache Beam, Kubernetes, Docker, or relational, column-based or NoSQL databases, stream or batch processing, Python, SQL or Java - you are the technology polyglot in the field of Big Data
And Zühlke
Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we offer four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog.
