Senior Data Engineer (Ontology & Knowledge Graph Systems)

Senior Data Engineer (Ontology & Knowledge Graph Systems)

We are seeking a Senior Data Engineer to design and implement a semantic data layer that unifies complex data assets across domains. This role focuses on building Palantir-style ontology and knowledge graph systems using open-source technologies to enable interpretability, analytics, and AI-driven workflows.

Key Responsibilities

• Design and implement scalable ontology or knowledge graph models representing business and technical domains.
• Build and maintain data pipelines (batch and streaming) for ingesting, transforming, and mapping heterogeneous data into semantic structures.
• Develop and optimize storage and query layers using graph databases or RDF / OWL frameworks (e.g., Neo4j, Apache Jena, TerminusDB).
• Integrate with APIs and orchestration systems to operationalize actions and workflows on ontology objects.
• Implement and maintain SPARQL, Cypher, or GraphQL interfaces for downstream applications.
• Collaborate with data scientists and AI teams to expose graph-based features for modeling and analytics.
• Ensure data lineage, versioning, and governance of ontology schemas and transformations.
• Establish telemetry, metrics, and automated tests for data quality and consistency.
• Mentor other engineers on semantic modeling, data integration patterns, and graph-based system design.

Required Skills and Experience

Preferred Qualifications

Impact

This role will define the foundation of our semantic data architecture — creating a unified, interpretable data layer that powers decision intelligence, analytics, and AI-driven systems across the organization.

Skills Required

Airflow, Sparql, Data Modeling, cypher , ELT, Rdf, Neo4j, Python, Java, Apis, owl, Graphql, Version Control, Scala, Apache Spark, Camunda, Data Governance, graph databases , Etl