Lead Data Architect

Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Don't miss this chance to collaborate with brilliant minds and deliver premier solutions that set a new standard.

As a Lead Data Architect at JPMorgan Chase within the Consumer & Community Banking, you play a crucial role in a team dedicated to creating top-tier data architecture solutions for diverse software applications utilizing cutting-edge cloud-based technologies.

Job responsibilities

• Engages technical teams and business stakeholders to discuss and propose data architecture approaches to meet current and future needs
• Defines the data architecture target state of their product and drives achievement of the strategy
• Participates in data architecture governance bodies
• Evaluates recommendations and provides feedback for new technologies
• Executes creative data architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down technical problems
• Develops secure, high-quality production code and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Facilitates evaluation sessions with external vendors, startups, and internal teams to drive outcomes through probing of data architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads data architecture communities of practice to drive awareness and use of modern data architecture technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Skills Required

Automation, Mobile, Data Architecture, Programming Languages, Software Development Life Cycle, Continuous Delivery, Artificial Intelligence, Machine Learning