Data Architect - Operations Focus | Data Architect (m/w/d) – Schwerpunkt Operations

Freudenberg Technology Innovation SE & Co. KG

Weinheim, Bergstraße, Baden-Württemberg, Deutschland
Published Feb 13, 2026
Full-time
Permanent

Job Summary

As a Data Architect specializing in Operations at Freudenberg Technology Innovation, you will play a pivotal role in designing and implementing scalable data architectures that power global production, logistics, and supply chain processes. Your daily responsibilities include building and maintaining data lakes and warehouses, developing optimized data pipelines, and ensuring high data integrity across diverse systems. You will bridge the gap between technical teams and business stakeholders, selecting modern cloud technologies and implementing best practices for security and CI/CD. This position is particularly attractive for professionals who enjoy working at the intersection of high-tech manufacturing and advanced data engineering. You will be part of a global technology group that values individual development and offers a highly networked, diverse environment. The role provides the opportunity to work with cutting-edge tools like Azure and Databricks while directly impacting the operational efficiency of a company serving 40 different market segments.

Required Skills

Education

University degree in Computer Science, Business Informatics, Data Science, or a comparable qualification.

Experience

  • Several years of professional experience as a Data Architect or in a similar data-focused role
  • Extensive experience with cloud platforms, specifically Microsoft Azure
  • Proven track record in designing and developing data pipelines for production or logistics environments
  • Experience with Big Data technologies and modern data warehouse/lakehouse concepts
  • Practical experience in stakeholder management and communicating technical concepts to non-technical audiences

Languages

Not specified

Additional

  • Location: Weinheim, Germany. Full-time, permanent contract. Understanding of operational processes in production and logistics is required.