Projekt

Interval•Berlin, IL

8d•Remote

About The Position

In this position, you will be responsible as an experienced Data Architect for the architectural foundation for a comprehensive data transformation in the German enterprise environment. You will act as the central technical authority: you will conceptualize the decentralized data landscape and steer the technological direction, while a dedicated implementation team will operationally realize your designs.

Requirements

Well-founded, long-term practical and project experience in data architecture or as a Senior/Lead Data Engineer in complex enterprise environments.
Solid experience in the conception and design of modern, decentralized data architectures (especially Data Mesh / Lakehouse).
Strong communication skills to convey complex concepts understandably, set quality standards, and inspire developers technically (no disciplinary line management or pure project management required).
Fluent/negotiable German and English skills in speaking and writing.

Nice To Haves

Ideally (preferred): Experience with Databricks on Azure.
Ideally (preferred): Experience in Data Governance / Data Cataloging (e.g., Collibra).
Ideally (preferred): Familiarity with classic enterprise data warehouse structures (preferably SAP BW) to optimally support migration processes.

Responsibilities

Architectural Blueprinting: Strategic conception, design, and continuous development of a highly scalable Data Mesh and Lakehouse architecture.
Technical Guideline Competence: Professional guidance, mentoring, and technological leadership of the assigned engineering team, which handles operational implementation and pipeline construction.
Modernization & Migration Paths: Definition of the strategy for migrating data streams from classic legacy structures into a modern platform environment.
Interface to Tech Governance: Definition of best practices regarding data quality, standardization, and governance within the new architecture.