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 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. Design, build and manage enterprise applications as scale to ensur robust and fault tolerant data processing and ingestion. Lead the design and evolution of event-driven microservices workflows, using Kafka for inter-service communication and reliable asynchronous processing (at-least-once delivery, retries, and DLQ patterns). 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 requirements into production-grade solutions. Set and uphold engineering standards for the team's Spring Boot services (API design, error handling, security, logging, performance tuning, versioning). Ensure production readiness through observability (metrics, logs, tracing), alerting, incident response runbooks, and proactive problem management. 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. 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 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 team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 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 Airflow Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent) Experience engineering production-grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance. Preferred qualifications, capabilities, and skills Experience with Agentic AI, LLMs, RAG architectures, vector databases, and embedding-based retrieval systems Hands-on familiarity with Internal Developer Portals such as Backstage - including service catalog management, software templating, and plugin development Experience with data mesh or data product architectures Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes) Experience with data observability, quality, and metadata management tools Experience with semantic layers, metrics stores, or BI platforms (Tableau, dbt Metrics) Experience in designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow is a plus. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary Jersey City,NJ $156,750.00 - $215,000.00 / year JPMorgan Chase Bank, N.A.