Data Architect

JR United Kingdom; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company is seeking an experienced Data Architect to support the development of their Clinical Knowledge Graph platform. The role involves designing data pipelines, optimizing SPARQL queries, and collaborating with data scientists. Candidates should have a bachelor's degree in a related field and proven skills in SPARQL and Python. This position is based in London, UK.

Qualifications

• Proven experience with SPARQL and Python.
• Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB).
• Experience in data modeling and schema design.
• Excellent problem-solving and analytical skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines using SPARQL and Python.
• Create and optimize complex SPARQL queries for data retrieval and analysis.
• Collaborate with data scientists to translate data requirements into effective pipelines.

Skills

SPARQL

Python

Clinical Knowledge Graph

GraphDB

Education

Bachelor’s degree in Computer Science, Data Science, or a related field

Tools

Apache Airflow

Luigi

Job description

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•Key Skills: SPARQL, Python, Clinical Knowledge Graph and GraphDB

•Location: London, UK

•We at Coforge are seeking “Data Architect” with the following skill-set:

Job Overview

We are seeking a highly experienced Data Architect to support the ongoing development and continuous improvement of our Clinical Knowledge Graph (Clinical Intelligence) platform.

This role is pivotal in enhancing technical architecture, streamlining processes, and ensuring high-quality delivery aligned with customer use cases.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using SPARQL and Python.
• Create and optimize complex SPARQL queries for data retrieval and analysis.
• Develop graph-based applications and models to extract insights and solve real-world problems.
• Collaborate with data scientists and analysts to translate data requirements into effective pipelines and models.
• Ensure data quality and integrity throughout the ETL process.
• Stay current with advancements in graph databases, data modeling, and programming languages.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Proven experience with SPARQL and Python.
• Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB).
• Experience in data modeling and schema design.
• Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi).
• Excellent problem-solving and analytical skills.
• Ability to work independently and collaboratively within cross-functional teams.

Preferred Background

• Experience in Health Informatics or Clinical Decision Support Systems.
• Prior involvement in Clinical Intelligence or Knowledge Graph projects.