Senior Data Engineer

Role Overview: As a Senior Data Engineer specializing in Ontology & Knowledge Graph Systems, you will be responsible for designing and implementing a semantic data layer that integrates complex data assets from various domains. Your primary focus will be on developing Palantir-style ontology and knowledge graph systems using open-source technologies to facilitate interpretability, analytics, and AI-driven workflows. Key Responsibilities: - Design and implement scalable ontology or knowledge graph models that represent both business and technical domains effectively. - Develop and maintain data pipelines for ingesting, transforming, and mapping heterogeneous data into semantic structures, encompassing both batch and streaming processes. - Create and optimize storage and query layers utilizing graph databases (e.g., Neo4j, Apache Jena, TerminusDB) or RDF/OWL frameworks. - Integrate ontology objects with APIs and orchestration systems to operationalize actions and workflows efficiently. - Establish and maintain SPARQL, Cypher, or GraphQL interfaces for downstream applications, ensuring seamless data access. - Collaborate closely with data scientists and AI teams to expose graph-based features for modeling and analytics purposes. - Ensure robust data lineage, versioning, and governance of ontology schemas and transformations. - Set up telemetry, metrics, and automated tests to uphold data quality and consistency standards. - Provide mentorship to other engineers on semantic modeling, data integration patterns, and graph-based system design. Qualification Required: - 6+ years of experience in data engineering, with a strong background in distributed data systems. - Proficiency in data modeling, ontology design (RDF/OWL), and graph data structures. - Hands-on expertise with graph databases (Neo4j, TerminusDB, ArangoDB) and query languages such as SPARQL, Cypher, and GraphQL. - Familiarity with Apache Spark or similar distributed data processing frameworks. - Strong understanding of ETL/ELT workflows and data integration across diverse systems. - Proficiency in programming languages like Python, Scala, or Java. - Experience in designing and managing APIs, preferably GraphQL-based data access layers. - Knowledge of workflow orchestration tools like Airflow, Temporal, Camunda, and CI/CD pipelines. - Strong grasp of data governance, schema evolution, and version control for ontology/data models. - Excellent communication and documentation skills for effective collaboration with cross-functional teams. Additional Company Details: This role will play a pivotal part in shaping the organization's semantic data architecture, establishing a unified and interpretable data layer essential for decision intelligence, analytics, and AI-driven systems across the company.,