Lead Data Engineer - Mainframe DB2 DBA

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)