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 proceduresDesign and deliver trusted data platform solutions for collection, storage, access, and analyticsDefine strategies for database backup, recovery, and archivingGenerate advanced data models using firmwide tools, linear algebra, statistics, and geometrical algorithmsApprove data analysis tools and processesCreate functional and technical documentation supporting best practicesAdvise and mentor junior engineers and technologistsEvaluate and report on access control processes to ensure data asset securityFoster a team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

Experience working with complex data structures or advanced data analysisProficiency with both relational and NoSQL databasesAdvanced understanding of database backup, recovery, and archiving strategiesStrong knowledge of linear algebra, statistics, and geometrical algorithmsAbility to present and deliver visual data effectively

Preferred Qualifications, Capabilities, and Skills:

Expertise in database performance optimization, including query tuning and indexing strategiesExperience leading technical teams and mentoring junior engineersAbility to collaborate with business stakeholders, data scientists, and software engineersStrong skills in documenting data models, architecture decisions, and operational proceduresFamiliarity with CI/CD pipelines, automated testing frameworks, and monitoring toolsUnderstanding of modern enterprise compute infrastructure, including virtualized and cloud solutionsExperience with Databricks, Parquet, Iceberg, or other high-volume data solutions