Join us and shape the future of data and analytics at JPMorgan Chase. As a Lead Software Engineer, you will have the opportunity to design and deliver market-leading technology products that support our business objectives. You will collaborate with talented colleagues in an inclusive, agile environment where your ideas and expertise are valued. We empower you to grow your career, work with cutting-edge technologies, and make a meaningful impact. Discover a place where your skills drive real change.

As a Lead Software Engineer in the Asset & Wealth Management Data & Analytics Engineering team, you will design and implement technical data and analytics solutions on a federated data platform. You will develop automated data ingestion and transformation pipelines, create new distribution channels, and deliver enhanced Data Products within a comprehensive data marketplace. You will collaborate with Technology groups and Business consumers, including Quantitative Research, to support key business initiatives. Your work will help drive innovation and operational excellence across our organization.

Job Responsibilities:

Develop secure, high-quality production code and review and debug code written by othersIdentify opportunities to automate remediation of recurring issues and improve operational stabilityLead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentialsDrive communities of practice across Software Engineering to promote new and leading-edge technologiesDesign and implement performant automated data ingestion and transformation pipelinesBuild new distribution channels and deliver enhanced Data ProductsCollaborate with stakeholders to understand requirements and deliver impactful solutionsFoster a team culture of diversity, opportunity, inclusion, and respectEnsure operational stability and scalability of software applications and systemsApply creative problem-solving to design, development, and technical troubleshootingContribute to all aspects of the Software Development Life Cycle

Required Qualifications, Capabilities, and Skills:

Experience with public cloud analytics technologies, such as SnowflakeUnderstanding of modern data architectures, including Data Mesh and Data FabricAdvanced proficiency in programming languages, including PythonLead developer experience with the ability to guide and manage othersStrong communication skills and confidence in stakeholder engagementProficiency in building and deploying performant software and familiarity with Infrastructure-as-Code toolingHands-on experience in system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methodsAdvanced understanding of agile methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within technical disciplines (e.g., cloud, AI, machine learning, mobile)In-depth knowledge of financial services industry IT systemsPractical cloud native experience

Preferred Qualifications, Capabilities, and Skills:

Experience with Java, especially for analytics platforms and solutionsCloud-based data analytics platform experience in Snowflake, Databricks, or similar solutionsAWS Certification (preferred but not required)