Senior Data Architect (Sustainability & Compliance... állás Országos

Introduction

We are looking for an experienced Freelancer Senior Data Architect to define a reusable and scalable data foundation supporting sustainability, EHS, and product compliance use cases within a global manufacturing environment.

This assignment focuses on building a governed data architecture that enables automation of lifecycle-related calculations and reporting (such as LCA, product carbon footprint, and environmental declarations), while also supporting broader sustainability reporting, regulatory compliance, and future digital product requirements.

Tasks

• Define the target data architecture and reusable data foundation
  
• Identify and structure key data domains and data products
  
• Design data ownership and governance models
  
• Establish principles for:
  
  • Data quality and validation
    
  • Data lineage and traceability
    
  • Versioning and auditability
    
• Ensure a modern lakehouse platform acts as the governed backbone for trusted data
  
• Enable integration of external calculation and authoring tools where appropriate
  
• Collaborate across business and IT domains to avoid fragmented point-to-point integrations
  
• Support the creation of reusable, auditable data products for multiple stakeholders
  

Requirements

• Strong experience in data architecture and modern data platforms (lakehouse)
  
• Hands-on knowledge of data governance, data products, and domain-driven data design
  
• Experience working with manufacturing, product data, or industrial environments
  
• Understanding of sustainability reporting and/or compliance-driven data requirements
  
• Ability to work across multiple stakeholders: business, IT, data, and compliance teams
  
• Experience integrating data across systems such as ERP, PLM, and analytics platforms
  

Preferences

• Experience with sustainability-related domains (e.g. lifecycle assessment, carbon footprint, environmental reporting)
  
• Experience with compliance-driven data (e.g. chemical, product, EHS)
  
• Familiarity with emerging requirements such as Digital Product Passport
  

Further information

• Full remote
  
• Allocation: minimum 50%, up to 80–100%