Lead Data Platform Engineer (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 JPMorganChase within the Corporate Sector's AI/ML & Data Platforms 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


* Designs and implements secure Data Lake solutions within the AWS environment.


* IaaS (Infrastructure As A Code) development including Terraform configuration script, Python scripts or Java programming to create services and resources in AWS Cloud environment.


* Explores and evaluates new Data Management features offered by AWS.


* 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, MCP server creation, 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.


* Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture


* Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems


* Collaboration with different teams to execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.


* Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Hands-on experience in AWS, especially in Data Management arena such as Glue, EMR, Athena, Redshift, and Lake Formation.


* Proficient in Python, Java, and database query languages for applications development, debugging, and maintenance in a large corporate environment


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set t...