Job Description

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.