Data Architect

We are seeking an experienced Data & Knowledge Graph Architect to design and implement scalable Knowledge Graph and Data Engineering solutions. The ideal candidate will have expertise in RDF-based Graph Databases, SPARQL, Vector Databases, Data Pipelines, Cloud Platforms, and Large-Scale Data Processing. Required Experience 15+ years of experience in Python, Java, Spark, Data Engineering, and Data Pipeline Development 8+ years of experience with RDF-based Graph Databases and Vector Databases 8+ years of experience with AWS, Azure, or GCP 6+ years in an Architect or Technical Leadership role Key Responsibilities Design and implement RDF-based Knowledge Graph solutions. Develop and optimize SPARQL, SQL, and graph queries. Create and maintain ontologies and semantic data models. Build scalable batch and streaming data pipelines. Integrate and process large volumes of structured and unstructured data. Optimize graph indexing, data retrieval, and system performance. Implement data governance, security, encryption, and access controls. Collaborate with Data Scientists, Engineers, and Business Stakeholders. Develop dashboards, reports, and analytical solutions. Mandatory Skills SPARQL, SQL, NoSQL Python, Java, Spark Kafka, Batch & Stream Processing REST APIs, FastAPI, Messaging Technologies Data Pipeline Design and Performance Optimization AWS, Azure, and/or GCP Large Data Handling and Process Automation Preferred Skills NLP and Semantic Search Kinesis or Kafka Streaming #J-18808-Ljbffr