As a Lead Data Engineer at JPMorgan Chase within the Commercial & Investment Bank - Production Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Maintains and supports Db2 database applications
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Experienced with mainframe environment and use of TSO / ISPF / JCL
- Develop rapport with application development teams for collaboration
- Expertise with troubleshooting / diagnosing mainframe db2 related issues
- Maintains review of controls to ensure sufficient protection of enterprise data
- Implements database back-up, recovery, and archiving strategy
- DDL Deployment , environment data refreshes, regular health checks
- Maintains highest levels of stability, integrity, reliability, and availability
- Experience with SQL and databases utilities including connectivity
- Adds to team culture of team work , collaboration, and partnership
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on Data Engineering concepts and 5+ years applied experience
- Working knowledge of relational databases (RDBMS) and SQL operations
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements.
- Working knowledge of JES2 and JCL, including RACF / ACF2 Security and CA7 / ZEKE
- Experience with performance analysis to optimize SQL workloads
- Knowledge of SYSPlex mainframe configuration including Data Sharing
- Knowledge of the data lifecycle and data management functions
- Working knowledge of mainframe data system components
- Strong understanding of data modeling fundamentals (e.g., primary and foreign keys, constraints, indexing, etc.)
- Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an innovative culture
- Knowledge of industry-wide technology trends and best practices
Preferred qualifications, capabilities, and skills
- Understanding of general Mainframe Utilities, Database Utilities and Stored Procedures
- Familiar with mainframe environment and the use of TSO / ISPF
- Understanding of Distributed and Static SQL workloads
- Understanding of plex mainframe configuration including Data Sharing & Stand-In
- Familiar with IDAA (Data Analytics Accelerators)