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Senior Data Architect - Global HR

Oberkochen

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Zeissgroup

What you’ll work on

Full posting
  • Own the target picture and design of the global HR data architecture

  • Build and steer the HR data infrastructure and DataOps on Azure and SAP

  • Do hands-on data engineering: pipelines, modelling and integration

  • Explain complex technical topics to stakeholders and support HR change processes

From the employer’s posting
Own the target picture, design, and continuous development of the global HR Data Architecture
Build and steer the HR data infrastructure and DataOps (e.g., HR Data Landing Zone on Azure, Azure Warehouse, SAP Business Data Cloud)
Take on hands-on data engineering tasks initially (pipelines, modelling, integration)
Translate complex technical topics into clear messages, actively manage stakeholders, and support change processes in a global HR context
Education & alternatives
Your profile - Master’s degree in Computer Science, Information Systems, Data Science, or similar; ideally complemented by relevant certifications or a PhD in data/AI - 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

Tools in this posting

  • Azure
  • SAP
  • Snowflake
Source — Tool mentions in context
- 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) - Take on hands-on data engineering tasks initially (pipelines, modelling, integration), and later steer the corresponding delivery capabilities
- 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 - 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) - Strong systems thinking and conceptual strength combined with a hands-on mentality and experience building modern data architectures for AI/ML

About Zeissgroup

In the Corporate HR Transformation, Operations & Insights department at ZEISS, we shape the future of how ZEISS works and grows worldwide.

In the employer’s words · Read in context

Posting record

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Open 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 16, 2026 · 105 days ago
Recorded sightings
169
Last seen by us
Oct 30, 2026
Employer says posted
Jul 10, 2026

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Job description

View original posting ↗

About us 

In the Corporate HR Transformation, Operations & Insights department at ZEISS, we shape the future of how ZEISS works and grows worldwide. As a global partner to all HR teams, we design and govern end‑to‑end HR System Landscape, HR Core Processes, and platforms, build strong international communities, and ensure excellent, reliable HR Services Delivery with a data and AI centric perspective In all we do, we are leveraging automation, data, and AI to create a high‑performance, insight‑driven HR organization. Joining us means playing a key role in turning data into better decisions, modern technology into smarter ways of working, and global collaboration into real business impact for ZEISS. 

Your role at Transformation, Operations & Insights 

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) 

  • Take on hands-on data engineering tasks initially (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 

If you want to know more about the role, kindly contact the responsible Recruiter: Sandro Phan (sandro.phan@zeiss.com). 

Your profile 

  • Master’s degree in Computer Science, Information Systems, Data Science, or similar; ideally complemented by relevant certifications or a PhD in data/AI 

  • 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 

  • 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) 

  • Strong systems thinking and conceptual strength combined with a hands-on mentality and experience building modern data architectures for AI/ML 

  • Excellent communication, change, and stakeholder management skills; able to explain complex topics in a simple way and guide people through transformation 

  • ideally experience in organizations with an advanced digital/data agenda and working in global, diverse teams 

  • English business proficiency is a must-have, German proficiency is a plus 

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation, or identity.

  

Apply now! It takes less than 10 minutes. 

Your ZEISS Recruiting Team:

Sandro Phan
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