Lead Software Engineer - Databricks/Snowflake/AWS

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 Corporate Technology - Consumer and Community Banking Risk Technology 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 using the syntax of at least one programming language with limited guidance in maintaining efficient algorithms that integrate seamlessly with relevant systems


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing and promoting reuse of effective patterns across the team


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation


* Implements and manages data solutions using Snowflake, including data modeling, performance tuning, and secure data sharing


* Develops workflows and ETL pipelines using Python, Databricks and Spark to optimize data processing and transformation at scale


* Frequently utilizes SQL with understanding the role of NoSQL databases in the marketplace, and applies Spark for distributed data processing and analytics


* Gathers, analyzes, and synthesizes large diverse data sets to develop visualizations and reporting that drives continuous improvement of software applications and systems


* Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation


* Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development


* Adds to team culture of diversity, opportunity, inclusion and respect, as a lead on the team - driving projects independently and providing technical and architectural guidance with junior engineers

Required qualifications, capabilities, and skills


* Formal training or certification in software / data engineering conce...