Lead Software Engineer - Data Platform

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 Commercial & Investment Banking - Data Analytics - Payments 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


* Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and Flink


* Develops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standards


* Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption


* Partners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutions


* 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


* Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills


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


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Demonstrated professional experience focused on software engineering or data platform development


* Advanced in one or more programming languages(s); Python, Java and SQL


* Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink


* Solid understanding of data modeling techniques (star schema, snowflake) and query optimization


* Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airfl...