Graph DB Architect

Highbrow LLC; United States; Remote; EUR 104.000 - 156.000; Vollzeit

Zusammenfassung

A leading tech firm is seeking a Graph DB Architect to design a scalable graph schema while ensuring query efficiency. The ideal candidate will have expertise in AWS Neptune and a degree in a related field. This is a long-term W2 role with remote work options available.

Qualifikationen

• Experience with graph schema design focusing on scalability.
• Knowledge of AWS Neptune and best data modeling practices.
• Establish data modeling best practices specific to AWS Neptune, ensuring query efficiency and data integrity.
• Schema design (nodes, relationships, and property specifications).
• Documentation for schema and guidelines for extending the graph

Aufgaben

• Design the overall graph schema for scalability and flexibility.
• Define node and relationship types to capture rules effectively.
• Establish data modeling best practices specific to AWS Neptune.
• Schema design (nodes, relationships, and property specifications).
• Documentation for schema and guidelines for extending the graph

Kenntnisse

Graph database design

Data modeling

AWS Neptune

Schema design

Knowledge of graph queries

Ausbildung

Bachelor’s or Master’s degree in Computer Science

Computer or Electrical Engineering

Mathematics

related field

Tools

AWS Neptune

Jobbeschreibung

Job Title :- Graph DB Architect

Employment Type :- W2

Duration :- Long Term

Visa Type :- All Visa applicable which are ready for W2

Location :- Remote (USA)

Job Description

• Design the overall graph schema, ensuring scalability and flexibility for adding new promotions, requirements, exclusions, and channels.
• Define node and relationship types, along with their properties, to capture the rules effectively.
• Establish data modeling best practices specific to AWS Neptune, ensuring query efficiency and data integrity.
• Schema design (nodes, relationships, and property specifications).
• Documentation for schema and guidelines for extending the graph

Education:

• Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.