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JPMorganChase

engineering opportunity

Lead Software Engineer - Data Platform Engineer

The Lead Software Engineer will design, build, and maintain scalable data pipelines and ETL/ELT workflows while leading the development of Agentic Autonomous Lakehouse capabilities. They will also partner with analytics teams and stakeholders to translate data requirements into production-grade, secure solutions.

Jersey City, New Jersey, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

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 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

[https://careers.jpmorgan.com/us/en/how-we-hire/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.

Which skills does this role require?

PythonJavaSQLApache SparkApache FlinkApache AirflowDatabricksAWSData modelingETL/ELTAgentic AILLMsRAG architecturesData governanceCI/CDSoftware EngineeringData ModelingETLELTRAGVector DatabasesData GovernanceAgileApache IcebergUnity CatalogOpenMetadataData LineageKafkaAirflowSparkSnowflake

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