We look for people who are passionate around solving business problems through innovation and engineering Practices

As a Lead Data engineer at JPMorgan Chase within Consumer & Community Banking, you are responsible for setting up, managing, and evangelizing the culture, practices, processes, and tools that enable the business of Database development & maintenance, modernization/migration, and support/operations.

• Job responsibilities
• Set up, manage, and evangelize the culture, practices, processes, and tools for database development & maintenance, modernization/migration, and support/operations.
• Identify where development and operations can be improved through process improvements, tooling, automation, and metrics to support transformation.
• Perform/lead database design and development, integration, performance monitoring & tuning, systems re-engineering, and operations support.
• Create roadmaps, processes, best practices, standards, and strategies focused on continuous improvement, resiliency, and scalability.
• Lead transformational, cross-functional IT initiatives and drive execution against transformation goals.
• Design and implement database engineering solutions including automation, monitoring, and performance engineering improvements.

Required qualifications, capabilities, and skills

• Expertise in database design, infrastructure architecture disciplines, and business processes.

• Ability to work collaboratively in teams and build meaningful relationships.

• Bachelor’s degree in Computer Science, Computer Engineering, or related field (or foreign equivalent).

• 10+ years of overall experience, with emphasis on Database Administration/Engineering.

• Expert knowledge of DB2 for z/OS and mainframe tools: BMC, CA Platinum (monitoring), SMPE, ISPF, SMS, SMF.

• 5+ years of experience with IBM Info Sphere for Queue Replication.

• Experience in REXX programming.

• 3+ years of experience leading transformational, cross-functional IT initiatives.

• Proven background in database engineering, automation, monitoring, performance engineering design and implementations.

• Strong execution mindset to manage and track progress against transformation goals.

• Experience with Atlassian tools: Jira, Confluence.

Preferred qualifications, capabilities, and skills

• Knowledge of cloud database technologies such as CockroachDB and Postgres, and Kafka