Senior Data Platform Engineer: AWS/Databricks & AI Tools

JPMorganChase; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorganChase is seeking a Senior Data Engineer to design and deploy secure data pipelines on AWS and Databricks, delivering scalable data platforms and reusable code libraries. You will collaborate with product, analytics, and security teams to drive roadmaps, ensure data quality, and optimize costs.

The role emphasizes leadership, mentorship, and adopting enterprise AI tools to boost code quality, speed of delivery, and operational resilience within an agile environment.

Qualifications

• Formal training or certification in data engineering with ownership concepts.
• 5+ years of hands-on system design, development, testing and operations.
• Strong Python, Databricks and Spark experience.
• Experience guiding AI-assisted software development tools and validation.

Responsibilities

• Architect and deliver data platforms and pipelines on AWS and Databricks.
• Develop reusable Python/Scala libraries and automation.
• Ensure data quality, monitoring, and cost optimization.
• Lead and mentor engineers, collaborating with product and security teams.
• Promote enterprise AI-assisted engineering practices with validated standards.

Skills

Python

Databricks

Spark

AWS

AI-assisted tooling

Education

Data engineering certification

Tools

GitHub Copilot

Claude Code

CI/CD tooling

Job description

JPMorganChase is seeking a Senior Data Engineer to design and deploy secure data pipelines on AWS and Databricks, delivering scalable data platforms and reusable code libraries. You will collaborate with product, analytics, and security teams to drive roadmaps, ensure data quality, and optimize costs.

The role emphasizes leadership, mentorship, and adopting enterprise AI tools to boost code quality, speed of delivery, and operational resilience within an agile environment.