Job
In this role, you will design the global HR data architecture, integrate systems, steer the data infrastructure, and take on data pipeline and integration tasks while effectively supporting stakeholders.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- As the Senior Data Architect in our Global HR Data, Analytics and AI team you will…
- Own the target picture, design, and continuous development of the global HR Data Architecture, embedded in the ZEISS Enterprise Vision
- Define how HR data is structured, integrated, and processed - with a focus on modular, integrated architectures, real-time analytics, and AI/ML readiness
- Collaborate closely with Corporate IT, ZEISS Digital Partners, and HR functions worldwide to orchestrate data governance, architecture, systems, and AI solutions.
- Build and steer the HR data infrastructure and DataOps (e.g., HR Data Landing Zone on Azure, Azure Warehouse, SAP Business Data Cloud)
- Initially take on hands-on data engineering tasks (pipelines, modelling, integration), and later steer the corresponding delivery capabilities.
- Translate complex technical topics into clear messages, actively manage stakeholders, and support change processes in a global HR context.
Our expectations of you
Education
- Master's degree in Computer Science, Information Systems, Data Science, or similar; ideally complemented by relevant certifications or a PhD in data/AI
Qualifications
- Deep technical understanding of HCM systems (e.g., SAP SuccessFactors, Workday, Oracle HCM) as well as modern data platforms and integration tools (e.g., Azure, Snowflake, APIs, ETL)
- Excellent communication, change, and stakeholder management skills; able to explain complex topics in a simple way and guide people through transformation
- English business proficiency is a must-have, German proficiency is a plus.
Experience
- 8-10 years of experience in data architecture/data engineering, with proven experience in HR systems or the HR data domain in global or multi-regional environments
- Strong systems thinking and conceptual strength combined with a hands-on mentality and experience building modern data architectures for AI/ML
- Ideally experience in organizations with an advanced digital/data agenda and working in global, diverse teams
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
ZEISS is a world-leading technology company that is active in the fields of optics and optoelectronics. In the last financial year, ZEISS generated sales revenues of more than 6.4 billion euros through its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (as at 30 September 2019).
- 50-249 Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Industry, Production
Employer reviews
- Team culture
- 4.0
- Working conditions
- 4.6
- Career growth
- 3.6
- Engineering
- 2.7
More jobs
These jobs might also interest you
Hello, let's say WE! We - the HUK-COBURG Insurance Group - are among the top 10 in Germany. Founded over 90 years ago, we are now the leading insurer for private households with over 13 million customers and the largest German auto insurer. Our...
The role As a Forward Deployed AI Engineer, you go directly into our specialist departments, understand the processes, and develop production-ready AI and automation solutions that will fundamentally change the way the entire GGW Group operates. You do...
You’ll be joining at a stage where we’re building and evolving our new CRM platform. That’s exactly what makes this role special: you won’t just develop features—you’ll actively help shape the technical foundation of a modern CRM ecosystem. Together...