Data & Knowledge Graph Architect

InfiCare Inc
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Apache HTTP Server
Azure
Big Data
Google BigQuery
Databases
Information Engineering
Data Retrieval
Amazon DynamoDB
Graph Database
Python
MongoDB
NoSQL
Raw Data
Cadence Virtuoso
SPARQL
SQL Databases
Google Cloud Platform
Spark
FastAPI
Amazon Web Services (AWS)
Kafka
Build Tools
REST
Stream Processing
Azure
Data Pipelines
Redshift
Programming Languages

Job description

Our client is seeking a senior Data & Knowledge Graph Architect to build systems that collect, manage, and convert raw data into usable information for business requirements. You will play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization, with a focus on RDF-based graph databases and knowledge graph design.

Requirements

  • Languages & Frameworks: Python, Java, Spark (10-12+ years)
  • Graph & Query: RDF-based Graph Databases (RDF4j, Virtuoso, GraphDB, Apache Jena), SPARQL (6+ years)
  • Vector Databases: Pinecone, FAISS (6+ years)
  • Data Engineering: Data Pipeline Design, Batch & Stream Processing, Kafka, Large Data Handling
  • Databases: SQL, NoSQL, RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB
  • Cloud Platforms: Azure, AWS, Google Cloud Platform - minimum two platforms (8+ years)
  • APIs & Messaging: REST APIs, FastAPI, event-driven messaging technologies
  • AI Coding Agents: Proficiency in AI-assisted coding tools
  • Architect-level experience: 6+ years in an architect role

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