Lead Data Engineer - AWS/Databricks Platform Architect

JPMorgan Chase; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking an Engineering Lead for Data Engineering in Columbus, OH. You will own technical direction, guide data platforms on AWS and Databricks, and mentor engineers while delivering secure, scalable data solutions.

Lead design and production-grade implementation, ensure reliability and cost efficiency, and collaborate with product, analytics, and security teams to drive strategic data initiatives.

Qualifications

• Formal data engineering training with architecture and production ownership experience.
• Experience delivering system design, development, testing, and operational stability.

Responsibilities

• Develops secure, high-quality production code and reviews team code.
• Architects data platforms and pipelines on AWS and Databricks using Spark and Delta.
• Builds reusable libraries, templates, and automation for data workflows.
• Owns data quality, monitoring, SLAs, and incident RCA for reliability.
• Leads engineers and partners with product, analytics, and security teams to deliver roadmaps.
• Promotes enterprise AI tools and validates AI outputs for correctness and security.

Skills

Python

Leadership

Agile methodologies

Education

Data engineering certification

Tools

Databricks

Spark

AWS

Job description

JPMorganChase is seeking an Engineering Lead for Data Engineering in Columbus, OH. You will own technical direction, guide data platforms on AWS and Databricks, and mentor engineers while delivering secure, scalable data solutions.

Lead design and production-grade implementation, ensure reliability and cost efficiency, and collaborate with product, analytics, and security teams to drive strategic data initiatives.