Lead Data Platform Engineer: AI-Driven Lakehouse & Pipelines

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

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.