Data & Knowledge Graph Architect

Position/TITLE: Data & Knowledge Graph Architect

Location: Onsite US

Job 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 youll 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 role

JOB 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 companys 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 scalability reliability and cost efficiency.
• Stay up to date with cloud services and best practices in data engineering to continuously improve our data ecosystem.
• Good exposure on at least two public cloud platforms (Azure/AWS/GCP)

Good-to-Have Skills:

- Knowledge or work experience in insurance mortgage banking domains.

- Proficiency in building stream processing systems using kinesis Kafka etc.

- Familiarity with Docker Kubernetes CI/CD and cloud services (AWS Azure GCP).

- Technical expertise in segmentation techniques.

- NLP knowledge