Information Architect (f/m/d)
Essity
- Lisbon, Portugal | Gothenburg, Sweden | Hamburg (HB) | Munich , Germany
- Hybrid
- Posted
This job is closed: the employer no longer lists it.
As an Information Architect , you will focus on designing and improving how data is structured and used within our data platforms. You will work closely with data engineers and analytics teams to ensure that data is well-organized, consistent, and ready to support business use cases , contributing directly to scalable and reliable data solutions. This role reports to the Director of Enterprise Information Management and works closely with stakeholders across the Globe, including colleagues in Portugal, Germany, and Sweden.
About Essity
- Information Architect (f/m/d) Do you enjoy structuring data and turning complexity into clarity?
- Are you driven to design data models and semantic layers that enable business insights?
- Join us and make your expertise count.
Responsibilities
- You Will Do Design and maintain data models and information models.
- Build and optimize semantic layers for analytics and reporting.
- Ensure data quality and consistency across systems.
- Work closely with data engineers to align: Data pipelines; Data structures and data consumption layers.
- Data orchestration and information layer design.
- Knowledge structures (e.g., knowledge graphs).
- Translate business needs into clear data structures. Who You Are Hands-on experience in: Data modeling; Information modeling and semantic layers.
Requirements
- Data quality; Data structures and relationships.
- Data Engineer or close collaboration with data engineering teams.
- Databricks, Azure, Fabric, Airflow, Purview.
- Strong analytical mindset and attention to detail.
- Good communication skills.
- Fluent in English - All Applicants are requested to deliver their CV in English language.
- This is a multi-location role with flexibility to be based in Lisbon, Munich , Hamburg or Gothenburg , collaborating with international teams across all regions. #LI-SA2 Application End Date: 05 nov.
Preferred
- Data engineering or analytics environments.
Familiarity with
2026 Job Requisition ID: Essity262653
