JPMorgan Chase
Sr. Lead Software Engineer: Data Engineering
OH · Senior · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years of applied experience.
About the job
Leads the design and delivery of secure, scalable data platforms and engineering practices for Employee Data Technology, including responsible use of approved AI capabilities.
What you'll do
- Designs trusted data collection, storage, access, and analytics solutions; defines database backup, recovery, and archiving strategies.
- Provides guidance on data management and governance, develops data models, and documents technical best practices.
- Promotes validated, secure, AI-assisted engineering and automation practices across the team.
What they ask for
- Formal training or certification in data engineering concepts, including architecture and production ownership concepts.
- Hands-on experience delivering system design, application development, testing, and operational stability.
- Strong Python skills; deep Databricks and Spark experience; experience with relational and NoSQL databases.
- Experience with AWS and modern lakehouse and data platform patterns; technical leadership through architecture decisions, mentoring, and cross-team influence.
Nice to have
- AWS and/or Databricks certification.
- Experience with streaming architectures, near-real-time processing, and operational monitoring, alerting, and recovery.
Tools
Python, Databricks, Spark, AWS
AI focus
Uses and leads adoption of enterprise-authorized AI for data platform analysis, documentation, coding, code review, testing, troubleshooting, and operational support, with validation and data-sensitivity safeguards.
Model-written summary · the original posting is authoritative