Data Architect (w/m/d)

At TÜV SÜD we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are TÜV SÜD.

Join us as a Data Architect and shape the data foundation of TÜV SÜD. You will design, build and manage our data landscape, ensuring scalability, security, and efficiency while enabling data-driven business decisions.

If you want to shape the future with us, we look forward to receiving your application for our location Munich.

• Advise business stakeholders on data-driven opportunities and solutions that support informed decision-making, digitalization, and business growth
• Design end-to-end data solutions for business use cases, from data ingestion and transformation to reusable data products
• Collaborate with business and technical teams to translate requirements into scalable, secure, and sustainable data architecture
• Optimize and evolve existing data solutions to improve efficiency, scalability, and business value
• Ensure alignment with enterprise architecture, data governance standards, and data mesh principles
• Promote reuse by designing shared data products, common data models, and standardized integration patterns
• Work closely with data engineers, data owners, and data stewards to ensure data quality, compliance, and discoverability through effective metadata management and documentation

• Minimum 7 years of experience in Data Architecture, Data Engineering, Analytics, or a similar role
• Degree in Computer Science, Information Systems, Data Science, or a related discipline
• Strong ability to understand business challenges and translate them into scalable data solutions that enable data-driven decision-making
• Experience designing end-to-end data architectures, from data ingestion and transformation to data products and consumption
• Experience with modern cloud data platforms such as Microsoft Fabric, Databricks, Snowflake, AWS, or GCP
• Solid knowledge of data modeling, database design, data governance, metadata management, and data product concepts
• Proficiency in SQL and at least one modern data processing language or framework (e.g., Python, Java, Scala, Spark)
• Strong stakeholder management and English communication skills, with the ability to collaborate effectively across business and technical teams.

• Flexible working hours
• Special payments
• Corporate health and safety management

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