Lead Data Engineer - Compute Data Platform

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorganChase within the Compute Infrastructure Platforms organisation you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

• Generates data models for their team using firmwide tooling, statistics, and contextual analysis
• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Implements database back-up, recovery, and archiving strategy
• Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Five years of relevant working experience with both relational and NoSQL databases
• Experience and proficiency across the data lifecycle
• Experience with database back-up, recovery, and archiving strategy
• Experience architecting and managing data solutions on major cloud platforms (AWS, Azure, Google Cloud).
• Demonstrated ability to implement and oversee data governance frameworks, including regulatory compliance.
• Hands‑on experience designing, building, and optimizing complex ETL/ELT pipelines for large‑scale, distributed data systems.

• Proven track record in database performance optimization, including query tuning, indexing strategies, and resource management for both relational and NoSQL systems.
• Experience leading technical teams, mentoring junior engineers, and fostering collaborative, inclusive environments.
• Ability to work closely with business stakeholders, data scientists, and software engineers to deliver integrated data solutions.
• Strong skills in documenting data models, architecture decisions, and operational procedures for knowledge sharing and compliance.
• Familiarity with CI/CD pipelines, automated testing frameworks, and monitoring tools relevant to data engineering.
• Familiarity with modern enterprise level compute infrastructure including virtualised and cloud solutions.
• Familiarity with Databricks, Parquet, Iceberg and, or other high volume solutions.

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.

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.