Senior Data Platform & Software Engineer Lead

Fairygodboss; Jersey City (NJ); On-site; USD 150,000 - 210,000; 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, governance, and analytics platforms at scale, partnering with product and analytics teams to deliver production-grade solutions.

Responsibilities include building scalable pipelines with Spark, Airflow, Kafka, Flink, and Databricks, developing data catalogues, quality frameworks, and semantic layers, and leading AI

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 (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
• 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 automate remediation of recurring issues to improve operational stability
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials
• Leads development of the Agentic Autonomous Lakehouse capability - automating governed self-service pipeline provisioning and lakehouse operations
• Leads communities of practice across Software Engineering to drive awareness and use of new technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Python

Java

SQL

Spark

Flink

Airflow

Databricks

Kubernetes

AWS

Data Modeling

Education

Software Engineering Degree

Tools

Iceberg

OpenMetadata

Unity Catalog

Job description

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, governance, and analytics platforms at scale, partnering with product and analytics teams to deliver production-grade solutions.

Responsibilities include building scalable pipelines with Spark, Airflow, Kafka, Flink, and Databricks, developing data catalogues, quality frameworks, and semantic layers, and leading AI