Description

You will design graph data models and build knowledge graphs to uncover relationships and insights. This role owns the architecture, ETL pipelines, and integration of graph solutions with enterprise platforms.

This role is on-site.

Responsibilities

• Design and develop graph data models using Neo4j, Amazon Neptune, or TigerGraph.
• Build and optimize ETL/ELT pipelines for graph-based systems.
• Ensure data quality, governance, and security across all graph solutions.
• Integrate graph solutions with enterprise data platforms and APIs.
• Provide technical leadership and establish best practices in graph architecture.

Required Skills

• Strong experience with Graph Databases (Neo4j, Neptune, TigerGraph).
• Proficiency in Cypher, Gremlin, or SPARQL.
• Hands-on experience with Data Architecture & Modeling.
• Experience in .NET (Must Have).
• Programming skills in Python, Java, or Scala.
• Experience with ETL pipelines and large-scale data processing.
• Familiarity with cloud platforms (AWS, Azure, GCP).

Preferred Skills

• Knowledge of Graph RAG patterns.
• Experience with Semantic Web (RDF, OWL, Linked Data).
• Exposure to Power BI, Databricks, Azure DevOps.

Key Skills

Education

Bachelor's degree