Position/TITLE: Data & Knowledge Graph ArchitectLocation: Onsite - USJob Description:Looking for a senior knowledge graph architect with expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business requirements. As a knowledge Engineer, you'll play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization and data retrieval with RDF based Graph database.Minimum Experience & Mandatory Skills * 10-12+ yrs: Python, Java, Spark; Data Pipeline Design; SPARQL/SQL/NoSQL/Kafka with Python; Batch & Stream Processing; Large Data Handling; Performance Optimization * 6+ yrs: RDF based Graph Databases; Vector Databases * 8+ yrs: Cloud (Azure/AWS/GCP); REST APIs & Messaging; Process Automation * 6+ yrs of working experience in Architect roleJOB Responsibilities * Design and develop RDF based Graph Databases and Knowledge graph implementation. * Design complex SPARQL & SQL code development process. * Implement Knowledge graph population alignment with ontology * Modify or create ontologies on need basis * Implement Graph indexes, data retrieval and performance optimization * Analyze and organize raw data: Work with various data sources, parsing documents, extracting relevant information and structuring it for further processing. * Build data systems and pipelines: Construct robust data pipelines that facilitate data flow from source to Target. * Evaluate business needs and objectives: Understand the company's requirements and align data systems accordingly. * Interpret trends and patterns: Use your analytical skills to identify data patterns. * Conduct complex data analysis and report on results: Dive deep into data to extract meaningful information. * Prepare data for prescriptive and predictive modeling: Ensure data is ready for machine learning and statistical analysis. * Build algorithms and prototypes: Develop and test data processing algorithms. * Combine raw information from different sources: Integrate data from various systems. * Explore ways to enhance data quality and reliability: Continuously improve data processes. * Identify opportunities for data acquisition: Stay informed about new data sources. * Develop analytical tools and programs: Create tools to facilitate data analysis. * Collaborate with data scientists and architects: Work closely with other data professionals to achieve common goals. * Implement data access controls, data encryption, and data masking techniques * Familiarity with data visualization tools and techniques for presenting data * Create and maintain dashboards and reports for stakeholders.Common Mandatory Skills Must Have: * Proficiency with AI Coding Agents: Ability to leverage AI-assisted coding tools for development and problem-solving. * Strong Logical Reasoning: Demonstrated capability to analyze complex problems and design efficient solutions. * Adaptability to Alternative Technologies: Flexibility to learn and work on different technologies as per project requirements (training will be provided).Mandatory Skills: * Strong experience with RDF Graph databases (e.g. RDF4j, Virtuoso, Graph DB, Apache Jena, etc.) * Strong experience with Vector databases (e.g. Pinecone, FAISS, etc.) * Strong SPARQL skills * Strong Python-Kafka skill. * Design, develop, and maintain data pipelines. * Exposure to process automation. * Experience working with REST API and Fast API s and services, messaging and event technologies. * Experience working with large and complex data sets. * Hands-on experience with SQL/No-SQL database (RDS, Redshift, DynamoDB, synapse, big query, mongo, etc.) * Batch/stream data processing experience * Good knowledge of programming languages (e.g., Python, Java, Spark, etc). * Monitor, troubleshoot, and optimize the performance of data infrastructure to ensure scalab