Information Architect

Essity Aktiebolag (publ).
München, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

München, Germany

Tech stack

Airflow
Data analysis
Azure
Information Engineering
Data Structures
Data Systems
Enterprise Information Management
Graph Database
Information Model
Data Layers
Data Management
Data Pipelines
Databricks

Job description

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.

What 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.
  • Contribute to: Data orchestration and information layer design.
  • Knowledge structures (e.g., knowledge graphs).
  • Translate business needs into clear data structures.

Requirements

Do you enjoy structuring data and turning complexity into clarity? Are you driven to design data models and semantic layers that enable business insights?, * Hands-on experience in: Data modeling; Information modeling and semantic layers.

  • Experience in: Data engineering or analytics environments.
  • Strong understanding of: Data quality; Data structures and relationships.
  • Background as: Data Engineer or close collaboration with data engineering teams.
  • Familiarity with: 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.

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