Bulge Bracket Investment Banks

Senior Lead Technical Data Engineer – Compute Data Platform

at J.P. Morgan

Tech LeadNo visa sponsorshipData Engineering

Posted 17 hours ago

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Compensation: Not specified
City: London
Country: United Kingdom

As a Senior Lead Technical Data Engineer on the Compute Data Platform team in London, you will design, build and deliver secure, scalable data platform solutions for collection, storage, access, and analytics. You will define strategies for database backup, recovery and archiving, generate advanced data models, approve tools and processes, and create technical documentation to support best practices. The role includes mentoring junior engineers, collaborating with stakeholders including data scientists and software engineers, and ensuring data governance and access control. Familiarity with high-volume data technologies such as Databricks, Parquet, and Iceberg, plus strong relational and NoSQL database expertise, is expected.

Location: LONDON, United Kingdom

Join us and make a real difference as you tackle complex data engineering challenges that influence the direction of a global leader. You will have the opportunity to leverage your expertise, collaborate with talented colleagues, and drive innovation across multiple data pipelines and architectures. At JPMorganChase, we empower you to grow your career while making a meaningful impact. Be part of a team that values your contributions and supports your professional development.

As a Senior Lead Data Engineer in the Compute Infrastructure Platforms team, you will play a pivotal role in enhancing, building, and delivering secure, stable, and scalable data solutions. You will work within an agile environment, using your technical expertise to solve diverse challenges and support critical business objectives. You will help shape our data strategy and contribute to a culture of inclusion, opportunity, and respect. Your work will directly impact how we collect, store, and analyze data across the organization.

Job Responsibilities:

Provide recommendations and insights on data management and governance procedures

Design and deliver trusted data platform solutions for collection, storage, access, and analytics

Define strategies for database backup, recovery, and archiving

Generate advanced data models using firmwide tools, linear algebra, statistics, and geometrical algorithms

Approve data analysis tools and processes

Create functional and technical documentation supporting best practices

Advise and mentor junior engineers and technologists

Evaluate and report on access control processes to ensure data asset security

Foster a team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

Experience working with complex data structures or advanced data analysis

Proficiency with both relational and NoSQL databases

Advanced understanding of database backup, recovery, and archiving strategies

Strong knowledge of linear algebra, statistics, and geometrical algorithms

Ability to present and deliver visual data effectively

Preferred Qualifications, Capabilities, and Skills:

Expertise in database performance optimization, including query tuning and indexing strategies

Experience leading technical teams and mentoring junior engineers

Ability to collaborate with business stakeholders, data scientists, and software engineers

Strong skills in documenting data models, architecture decisions, and operational procedures

Familiarity with CI/CD pipelines, automated testing frameworks, and monitoring tools

Understanding of modern enterprise compute infrastructure, including virtualized and cloud solutions

Experience with Databricks, Parquet, Iceberg, or other high-volume data solutions

Drive business impact and shape the future of data engineering as a key member of our high-performing team.

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