Sr Lead Software Engineer - Data Engineering

Embrace this pivotal role as an essential member of a high-performing team dedicated to reaching new heights in data engineering.

Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies.

As a Senior Lead Software Engineer at JPMorganChase within Consumer & Community Banking Risk Technology, you are an integral part of an agile team that designs, builds, and delivers the data utilities and platforms our modeling, analytics, and risk partners depend on.

This is a hands-on engineering role - you lead through technical depth, design authority, and the code you write.

You will lead a Scrum team building cutting-edge data utilities, setting the technical direction and raising the engineering bar for everyone around you.

Leverage your deep technical expertise and problem-solving capabilities to drive significant business impact and tackle a diverse array of challenges spanning real-time and batch data platforms, multiple data architectures, and a wide range of data consumers.

Job responsibilities


* Design, build, and deliver reusable frameworks and platforms that support both high-throughput real-time applications and large-scale batch processing - including Spark workloads over datasets spanning billions of records - in a secure, stable, and scalable way


* Write production code daily as the senior technical contributor on the team; lead by example on design quality, testing, and operational readiness


* Lead a Scrum team building cutting-edge data utilities, setting technical direction, decomposing complex problems into deliverable work, and unblocking engineers without holding a reporting line


* Build and develop the team's technical capability - mentoring engineers, raising code-review standards, growing depth in the platform stack, and creating the conditions for a self-reliant, high-performing team


* Provide recommendations and insight on data management and governance procedures applicable to the acquisition, maintenance, validation, and utilization of data - spanning Data Governance, Data Quality, Data Profiling, and Data Lineage


* Use the latest enterprise-authorized generative AI and agentic AI capabilities to accelerate design, implementation, testing, and technical documentation - validating outputs and handling data according to sensitivity and security requirements


* Design and deliver trusted data collection, storage, access, and analytics platform solutions across AWS, Databricks, and Snowflake


* Build streaming and low-latency serving components using Kafka, Cassandra, and related AWS services to support real-time consumption


* Partner closely with product, architecture, modeling, and model-deployment teams to understand data requirements and deliver the engineering that feeds and serves them


* Apply reuse-first, AI-assisted practices within delivery and operational routines - ensuring traceability, auditability, and a...