Senior Lead Data Engineer — AI-Driven Data Platform

JPMorgan Chase & Co.; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Data Engineer in Employee Data Technology to advance data collection, storage, access, and analytics with a secure, scalable platform. You will work in an agile team to deliver data products and governance practices that enable trusted insights across multiple data consumers.

You will lead the adoption of enterprise AI-assisted engineering, mentor teammates, define data security standards, and drive architecture decisions that improve code quality and

Qualifications

• Formal training or certification on data engineering concepts with architecture and production ownership concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Proven ability to use enterprise AI capabilities in data workflows with strong validation and data-sensitivity awareness.

Responsibilities

• Provides recommendations and insight on data management and governance for acquisition, maintenance, validation, and utilization of data.
• Uses AI capabilities to accelerate data platform design, analysis, and technical documentation with proper validation.
• Designs and delivers trusted data collection, storage, access, and analytics platform solutions securely and scalably.

Skills

Python programming

Technical leadership

Data engineering concepts

Education

Data engineering certification

Tools

Databricks

Spark

AWS

Relational databases

NoSQL databases

Job description

JPMorganChase is seeking a Senior Lead Data Engineer in Employee Data Technology to advance data collection, storage, access, and analytics with a secure, scalable platform. You will work in an agile team to deliver data products and governance practices that enable trusted insights across multiple data consumers.

You will lead the adoption of enterprise AI-assisted engineering, mentor teammates, define data security standards, and drive architecture decisions that improve code quality and