Lead Software Engineer - Data Platform

Next Frontier Capital; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to join the analytics team within Commercial & Investment Banking. You will be a core technical contributor responsible for building trusted, scalable technology products in a secure environment.

You will design and operate data pipelines with Spark, Airflow, Kafka, and Flink, partner with product managers and stakeholders to translate requirements into production-grade solutions, and advance governance and security across data platforms.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Experience delivering system design, application development, testing, and operational stability.
• Professional experience focused on software engineering or data platform development.
• Advanced in one or more programming languages (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).
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, AI/ML, etc.)

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• 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 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 automate remediation of recurring issues to improve stability of software applications and systems.
• Leads evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and applicability for use within existing systems.
• Leads communities of practice across Software Engineering to drive awareness and adoption of new technologies.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Skills

Python

Java

SQL

Spark

Flink

Airflow

Databricks

AWS

CI/CD

Data Modeling

Education

Formal software engineering training or certification

Tools

Docker

Kubernetes

Terraform

Kafka

Glue

Redshift

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 – 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 Airflow
• Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Experience with Agentic AI, LLMs, RAG architectures, vector databases, and embedding‑based retrieval systems
• 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)

About the Company

JPMorgan Chase, 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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.