Lead Software Engineer - Data & AI Platform Engineer

Next Frontier Capital; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to join the Payments Technology team within Commercial & Investment Banking. You will design and implement data pipelines and a data/AI platform powering analytics and automation at scale, with governance across catalog, lineage, and data quality.

You’ll lead an Agentic AI initiative to automate platform engineering and architecture with product and analytics partners.

Qualifications

• 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 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.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience developing Agentic AI, LLMs, RAG architectures, MCP, vector databases, and embedding-based retrieval systems

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 development of the Agentic Autonomous Lakehouse capability - automating governed self-service pipeline provisioning and lakehouse operations (health/cost/performance analysis, best-practice enforcement)
• 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

Skills

Python

Java

SQL

Spark

Flink

Airflow

Kubernetes

Databricks

data modeling

ETL/ELT

Tools

Apache Spark

Flink

Airflow

Kafka

Databricks

Kubernetes

Iceberg

Unity Catalog

OpenMetadata

Job description

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's Payments Technology team to build a Data & AI Platform powering analytics and automation at scale. You’ll design and implement modern data pipelines and platform capabilities on a cutting-edge stack, backed by strong governance across catalog, lineage, & data quality. You’ll lead an Agentic AI initiative to automate and optimize platform engineering and architecture, partnering with product and analytics teams to deliver production-grade solutions.

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 development of the Agentic Autonomous Lakehouse capability - automating governed self-service pipeline provisioning and lakehouse operations (health/cost/performance analysis, best-practice enforcement)


• 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 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.


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• Experience developing Agentic AI, LLMs, RAG architectures, MCP, vector databases, and embedding-based retrieval systems

Preferred qualifications, capabilities, and skills

• Hands-on familiarity with Data Platform and transformation framework 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)

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

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Data & AI Platform Engineer