AI-Driven Lead Data Engineer - Python & Big Data

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer to shape AI‑first analytics and data products within Global Prime Brokerage. You will lead an agile team, drive modernization of the data mesh, and build scalable, governed data platforms using Python, PySpark, and Java.

You will deliver secure, reliable analytics solutions across business functions while advancing AI capabilities and ecosystem integration.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proven leadership delivering AI-first analytics and data engineering at scale.
• Experience developing data ingestion and integration processes for analytics-ready datasets.
• Deep hands-on experience with big data platforms (Spark, Databricks, Snowflake, Iceberg).
• Strong programming in Python and PySpark, or Java, with CI/CD and containerization practices.
• Applied AI expertise in ML pipelines, NLP/LLMs, and autonomous agents.
• Governance across lineage, data quality, and access control with regulatory alignment.
• Comfortable in an agile environment with strong communication.
• Proficient in SDLC tools and AI-assisted development.

Responsibilities

• Collaborate with business and technology teams to develop AI‑first analytics and data product solutions.
• Define and enforce architecture for an AI‑driven data product lifecycle: semantic extraction/alignment, automated lineage and DQ, pipeline code generation, mesh registration, and self‑service consumption.
• Build and operate autonomous agents for data engineering that detect schema drift, propose transformations, reconcile semantics, triage data incidents, and maintain governance evidence under human‑in‑the‑loop controls.
• Design analytics platforms capable of running reporting and other analytics; explore innovative ideas by building real‑time and batch analytics solutions.
• Establish monitoring and alerting of solution events related to performance, scalability, availability, and reliability.
• Provide technical leadership, guidance, and direction to other team members; build prototypes for demonstrations for peer groups, business partners, and senior leaders.
• Drive team adoption of enterprise‑authorized AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Apply knowledge of SDLC tools to improve automation and value of AI outputs.
• Lead migration and modernization from legacy stacks to the strategic mesh ecosystem (Databricks/Iceberg/common services).
• Industrialize entity resolution with ML/LLM solutions and standardize analytical product packaging for reuse and monetization.
• Embed governance, lineage, and DQ by design across critical domains and regulatory reporting.

Skills

Leadership

AI-first analytics

Python

PySpark

Java

Big data

Data governance

CI/CD

Secure coding

Agile

Communication

ML/LLMs

Tools

Spark

Databricks

Snowflake

Iceberg

Kubernetes

Docker

Job description

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer to shape AI‑first analytics and data products within Global Prime Brokerage. You will lead an agile team, drive modernization of the data mesh, and build scalable, governed data platforms using Python, PySpark, and Java.

You will deliver secure, reliable analytics solutions across business functions while advancing AI capabilities and ecosystem integration.