We are looking for a Lead Data Architect to help deliver robust, scalable, and future-proof data solutions across a range of industries. You will play a key role in designing data architectures and guiding project delivery, working closely with clients and internal teams to bring data strategies to life.

You'll work under the direction of a Principal Architect or Head of Data, contributing technical leadership while remaining hands-on with solution design and implementation.

How You'll Make an 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.
• 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 are proficient in technologies such as Apache Spark, Kubernetes, Docker, SQL, and the data platform services of Azure, AWS and Databricks.