Senior Data Warehouse Architect & AI-Driven Leader

JPMorganChase; Greater London; On-site; GBP 120,000 - 150,000; Full time

Job summary

J.P. Morgan is seeking a Principal Data Engineer in Enterprise Technology, Infrastructure Platforms to drive data engineering excellence. You will enhance, build, and deliver data pipelines, storage, and analytic solutions in a secure, scalable way, partnering across portfolios to shape outcomes.

This role emphasizes leadership, collaboration, and a focus on resilient data architectures. We value pioneering technical capability, strong communication with senior leaders, and hands-on development

Qualifications

• Expertise in data engineering for large-scale data warehouse solutions.
• Proven ability to lead end-to-end delivery of data pipelines and architectures.
• Experience as Principal Engineer or Technical Delivery Lead.

Responsibilities

• Partner with principal architects to map design to delivery roadmaps.
• Design and optimize large-scale data warehouse solutions for scalability and performance.
• Develop robust data pipelines and ETL processes for secure data architectures.
• Apply advanced data modeling to derive insights and support business needs.
• Collaborate with cross-functional teams to embed data solutions in applications.
• Evaluate data visualization tools and create impactful stakeholder visuals.
• Mentor junior engineers and promote best practices.

Skills

Data engineering

ETL pipelines

Leadership

Communication to senior leaders

AI capabilities validation

Hands-on development

Education

Advanced degree in Computer Science, Engineering, Mathematics

Tools

Databricks

Apache Iceberg

Apache Spark

Kafka

Kinesis

Python

SQL

Job description

J.P. Morgan is seeking a Principal Data Engineer in Enterprise Technology, Infrastructure Platforms to drive data engineering excellence. You will enhance, build, and deliver data pipelines, storage, and analytic solutions in a secure, scalable way, partnering across portfolios to shape outcomes.

This role emphasizes leadership, collaboration, and a focus on resilient data architectures. We value pioneering technical capability, strong communication with senior leaders, and hands-on development