Information Architect: Design Data Models for Insights

Essity; Göteborgs kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Job summary

Essity is seeking an Information Architect to shape how data is modeled and consumed across our platforms. You will design robust data models, build semantic layers for analytics, and ensure data quality across systems while collaborating with data engineers and analytics teams worldwide.

You will translate business needs into scalable data structures, contribute to knowledge graphs, and work with Databricks, Azure, Fabric, Airflow and Purview to enable reliable data solutions.

Qualifications

• Hands-on experience in data modeling and information modeling with semantic layers.
• Experience in data engineering or analytics environments.
• Strong understanding of data quality and data structures/relationships.
• Background as a data engineer or close collaboration with data engineering teams.
• Familiarity with Databricks, Azure, Fabric, Airflow and Purview.
• Excellent analytical mindset and attention to detail.
• Good communication skills and ability to translate business needs into clear data structures.

Responsibilities

• Design and maintain data models and information models.
• Build and optimize semantic layers for analytics and reporting.
• Ensure data quality and consistency across systems.
• Collaborate with data engineers to align data pipelines, structures, and consumption layers.
• Contribute to data orchestration and information layer design.
• Utilize knowledge structures (e.g., knowledge graphs).
• Translate business needs into clear data structures.

Skills

Data modeling

Information modeling

Semantic layers

Data quality

Data structures

Communication skills

English proficiency

Tools

Databricks

Azure

Fabric

Airflow

Purview

Job description

Essity is seeking an Information Architect to shape how data is modeled and consumed across our platforms. You will design robust data models, build semantic layers for analytics, and ensure data quality across systems while collaborating with data engineers and analytics teams worldwide.

You will translate business needs into scalable data structures, contribute to knowledge graphs, and work with Databricks, Azure, Fabric, Airflow and Purview to enable reliable data solutions.