Senior Lead Technical Data Engineer – Compute Data PlatformJPMorgan Chase & Co. • London, England, United Kingdom
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Senior Lead Technical Data Engineer – Compute Data Platform
JPMorgan Chase & Co.
- London, England, United Kingdom
- London, England, United Kingdom
About
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
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Languages
- English
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