Senior Data Architect: Semantics & Graphs (Remote)

Bayer CropScience Limited; Warszawa; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Well-being benefits

Life insurance

Pension plan

Home office allowance

Extra holidays

Job summary

Bayer CropScience Limited is seeking a Senior Data Architect - Semantics & Engineering to structure and formalize domain knowledge into ontologies, taxonomies, and knowledge graphs that power an integrated pharmaceutical data landscape. You will enable self-service analytics and AI-enabled capabilities while applying FAIR and Linked Data principles in a cloud environment.

The role requires deep expertise in semantic web technologies, graph databases, and API design, with a strong emphasis on

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Info science/knowledge engineering.
• Strong knowledge of ontologies, taxonomies, and knowledge graphs.
• Proficiency with Semantic Web standards: RDF/OWL/SPARQL.
• Experience with graph databases and virtual KG tech.
• API design patterns (REST/GraphQL) and cloud engineering basics.
• Familiarity with data governance and privacy concepts (GDPR).

Responsibilities

• Design and implement conceptual, logical, and physical data models and semantic layers.
• Build and maintain ontologies, taxonomies, and knowledge graphs across stores.
• Collaborate with domain experts and engineers to elicit and validate knowledge representations.

Skills

Ontology design

Semantic modelling

Data architecture

REST and GraphQL

Programming fundamentals

Team collaboration

Data governance awareness

Data security basics

Analytical communication

Education

Bachelor's degree in CS/Info Science/Knowledge Engineering

Tools

RDF

OWL

SHACL

SPARQL

TopBraid EDG

Ontop

Stardog

GraphRAG

Databricks

Snowflake

Microsoft Fabric

Elasticseach

Collibra

Git

Job description

Bayer CropScience Limited is seeking a Senior Data Architect - Semantics & Engineering to structure and formalize domain knowledge into ontologies, taxonomies, and knowledge graphs that power an integrated pharmaceutical data landscape. You will enable self-service analytics and AI-enabled capabilities while applying FAIR and Linked Data principles in a cloud environment.

The role requires deep expertise in semantic web technologies, graph databases, and API design, with a strong emphasis on