Principal Data Warehouse Engineer - Executive Director

J.P. MORGAN; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

J.P. Morgan is seeking a Principal Data Engineer to lead data engineering excellence across enterprise platforms. You will shape data collection, storage, access, and analytics at scale while collaborating with senior stakeholders to drive trusted insights.

You will guide end-to-end data pipelines, apply advanced modeling, and champion AI-assisted validation and governance practices in a fast-paced environment.

Qualifications

• Experience designing and delivering large-scale data warehouses in enterprise environments.
• Proven ability to lead end-to-end data pipelines and architectures.
• Experience as a Principal Engineer or Technical Delivery Lead is a plus.
• Excellent communication of complex concepts to senior leaders.
• Strong understanding of data management, security, and governance.

Responsibilities

• Partner with architects to convert design into delivery roadmaps.
• Design and optimize enterprise data warehouses for scalability and performance.
• Develop data pipelines and ETL processes for secure architectures.
• Apply data modeling techniques to derive actionable insights.
• Collaborate with cross-functional teams to integrate data solutions.
• Evaluate data visualization tools for stakeholder impact.
• Mentor junior engineers and promote continuous learning.
• Champion diversity, inclusion, and a respectful workplace.
• Leverage AI capabilities to accelerate data architecture and validation.
• Lead reuse-first AI-assisted validation and documentation practices.

Skills

Data engineering

Data pipelines

ETL processes

SQL

Python

Spark

Cloud platforms

AI capabilities

Mentorship

Communication to leaders

Education

Advanced degree in Computer Science or related field

Tools

Databricks

Apache Iceberg

CI/CD tooling

Infrastructure as Code

Kafka

Kinesis

Job description

Job Description

Join us and bring your innovative spirit to a team where your expertise shapes the future of data engineering. As a Principal Data Engineer, you will inspire change and deliver solutions that make a lasting impact. We value visionary leadership, collaboration, and a commitment to excellence. You'll have the opportunity to grow your career, work with talented colleagues, and contribute to a culture of inclusion and respect. Your contributions will help us push the limits of what's possible.

Job Summary

As a Principal Data Engineer in Enterprise Technology, Infrastructure Platforms team, you will provide data engineering excellence as an integral part of an agile team. You will enhance, build, and deliver data collection, storage, access, and analytic solutions in a secure, stable, and scalable way. Leveraging your advanced technical capabilities, you will collaborate across the organization to drive best-in-class outcomes for various data pipelines and architectures. Your role will support one or more of the firm's portfolios, helping shape the team culture and the impact of our work.

Job Responsibilities

• Partner proactively with principal architects to transform design intent into practical delivery roadmaps.
• Design, build, and optimize complex data warehouse solutions for scalability, reliability, and performance.
• Develop and implement robust data pipelines and ETL processes to deliver secure and stable data architectures.
• Apply advanced data modeling techniques to solve business challenges and drive actionable insights.
• Collaborate with cross-functional teams to integrate data solutions into business-critical applications.
• Evaluate and select data visualization tools, creating impactful visualizations for stakeholders.
• Provide technical mentorship to junior engineers, sharing best practices and fostering continuous learning.
• Champion a culture of diversity, opportunity, inclusion, and respect in daily interactions and project work.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data architecture and model analysis and decisioning, validating outputs and handling data according to sensitivity and security requirements.
• Leads reuse-first adoption of AI-assisted validation and documentation practices across delivery routines, ensuring traceability/auditability and alignment to resiliency and security expectations

Required Qualifications, Capabilities, and Skills

• Expertise in data engineering, designing, building, and delivering large-scale data warehouse solutions in enterprise environments.
• Ability to apply new methods to solve complex technology problems in technical disciplines.
• Proven track record of leading end-to-end delivery of data pipelines, ETL processes, and data architecture projects.
• Experience leading products as a Principal Engineer or Technical Delivery Lead.
• Ability to present and communicate technical concepts, project progress, and solution impacts to senior leaders.
• Experience with emerging technologies and best practices, focusing on practical implementation and integration.
• Proficient understanding of existing and new data management systems, with a commitment to continuous learning.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support advanced data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs and recommendations before adoption, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
• Strong proficiency in hands-on development using industry-standard tools and languages (e.g., SQL, Python, Spark, cloud platforms).

Preferred Qualifications, Capabilities, and Skills

• Hands-on experience with Databricks and proficiency in managing large datasets using Apache Iceberg.
• Experience architecting and implementing enterprise-scale data warehouses on cloud platforms (e.g., AWS, Azure, GCP).
• Advanced proficiency in designing and optimizing data models for analytics, reporting, and business intelligence.
• Ability to automate data pipeline deployment and monitoring using CI/CD tools and infrastructure-as-code practices.
• Expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark).
• Experience collaborating with cross-functional teams to deliver impactful data solutions.
• Ability to evaluate, select, and integrate emerging data technologies and tools for scalability, security, and performance.
• Published contributions to open-source projects, technical blogs, or industry forums related to data engineering.
• Advanced degree in Computer Science, Engineering, Mathematics, or a related field.
• Recognized for mentoring and developing technical talent, fostering innovation and continuous improvement.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.