We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Data Core Engineering Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and coordinate with engineering and infrastructure teams to ensure the self-serve data platform supports data catalog. Leads implementation and adoption of data product specific metadata standards stored in the catalog across the organization Designs, deliver training programs for maintaining the data product for managers and other stakeholders aligned to data mesh principles and practices to engage with data consumers to assess satisfaction and gather requirements for data product findability, accessibility, interoperability and reuse in the catalog. Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and proficient applied experience.  Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Java or Python. Proficiency in automation and continuous delivery methods Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Extensive experience in data management, analytics, and data architecture in financial services. Experience in cataloging and managing data products, with a good understanding of Domain Driven Design (DDD), federated automated governance, and metadata management to support data-intensive use cases, emphasizing the integration of source-aligned data products to enhance the organization's data mesh.  Experience in supporting cross-domain organizational structure refinement, data product interoperability, and the establishment of federated ownership and governance through strategic metadata management and understanding of data mesh principles and their practical application. Hands-on experience with data catalog platforms, preferably Atlan, Databricks and constructs like asset bundle and data contracts Advanced knowledge of data governance, risk management, and regulatory compliance in financial services. Preferred qualifications, capabilities, and skills Advanced degree in Computer Science, Data Science, or related field. Certifications in data management or relevant technologies. Experience with agile methodologies and DevOps practices. Knowledge of data ontologies and industry standards for cataloging data products.