Senior Lead Software Engineer Data Platform Python or Java, big data

Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.

As an Experienced Data Platform Engineer at JPMorgan Chase within the Corporate Technology team you will be a key member of an agile team responsible for designing and delivering the trusted market-leading data platforms and infrastructure that our products and teams depend on in a secure stable and scalable manner.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
• Designs develops and operates scalable data platform services and pipelines and produces secure and high-quality production code while reviewing and debugging code written by others
• Drives decisions that influence data platform architecture application functionality and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus (e.g. distributed data processing data storage platform reliability)
• Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed quality and operational outcomes; establishes measurable expectations (e.g. throughput defect reduction reliability) and ensures consistent validation security resiliency and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to drive efficiency and support capacity unlock initiatives across teams prioritizing reuse of existing firm technology assets.
• Influences peers and project decision-makers to consider the use and application of leading-edge data and backend technologies

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 10 years applied experience
• Hands-on practical experience delivering system design application development testing and operational stability for data platforms and backend systems
• Advanced proficiency across both Python and Java with strong general backend engineering experience (e.g. building APIs services and distributed systems)
• Strong big data and database skills including hands-on experience with Spark Databricks and/or Data Lake and building large-scale data pipelines
• Experience designing and operating data platform components like ingestion processing storage and access/serving layers and experience with AWS cloud computing using ECS EKS EMR Lambda etc.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools including defining governance/ways of working (human-in-the-loop validation quality gates) measuring outcomes and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations resiliency/security implications and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. cloud distributed data processing artificial intelligence machine learning etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in developing debugging and maintaining code in a large corporate environment and ability to collaborate well with global teams in geographically distributed locations across time zones
• Self-starter able to reach out to various team members users and partner teams to get solutions delivered.

Preferred qualifications capabilities and skills

• AI ML Claude MCP
• Familiar with agile development methodologies (e.g. Scrum) and CI/CD Applicant Resiliency and Security
• Experience with data orchestration and workflow tools (e.g. Airflow) and streaming technologies (e.g. Kafka)