Data Engineer - Ontology Engineering

Responsibilities:

Ontology Development:

• Design and implement ontologies based on BFO and CCO principles, aligned with business needs and industry standards
• Collaborate with domain experts to formalize domain knowledge into reusable ontological structures
• Develop and maintain ontologies modeling business entities, relationships, and processes

Data Modeling:

• Create semantic and syntactic data models adhering to ontological principles
• Design scalable, flexible, and adaptable data models to accommodate evolving business needs
• Integrate data models into existing data infrastructure and applications

Knowledge Graph Implementation:

• Design and build knowledge graphs based on defined ontologies and data models
• Develop tools and algorithms for knowledge graph population, enrichment, and maintenance
• Leverage knowledge graphs for advanced analytics, intelligent search, and recommendations

Data Quality and Governance:

• Ensure high-quality, accurate, and consistent ontologies, models, and knowledge graphs
• Define and enforce data governance processes for ontology and model lifecycle management

Collaboration and Communication:

• Partner with data scientists, software engineers, and stakeholders to translate data requirements into ontological solutions
• Communicate complex data and semantic modeling concepts clearly across technical and business teams

Qualifications:

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field

Experience:

• Minimum 5 years of experience in data engineering or a similar technical role
• Proven experience in developing ontologies using BFO, CCO, or equivalent frameworks
• Deep understanding of semantic web technologies: RDF, OWL, SPARQL, SHACL
• Proficient in Python, SQL, and related data engineering tools
• Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., Stardog, GraphDB) is a plus

Desired Skills:

• Familiarity with machine learning and NLP techniques
• Experience with cloud platforms (AWS, Azure, GCP)
• Exposure to Databricks tools and technologies: Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, Photon
• Strong problem-solving and analytical mindset
• Excellent verbal and written communication skills