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 Core Data Platforms, you are an integral part of a team dedicated to developing high-quality data architecture solutions for various software applications using modern cloud-based technologies. As a core technical contributor, you will be responsible for implementing critical data architecture solutions across multiple technical areas within various business functions to support project goals.

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 and 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
• Design, develop, and maintain conceptual, logical, and physical data models using Erwin Data Modeler to support business requirements and data architecture strategies.
• Collaborate with stakeholders to ensure data models align with enterprise standards and best practices, leveraging Erwin for model management, version control, and documentation.
• Perform data modeling reviews and provide guidance on data structure optimization, normalization, and integration using Erwin.

• Formal training or certification on architecture concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge of architecture and one or more programming languages
• Proficiency in automation and continuous delivery methods and proficiency in all aspects of the Software Development Life Cycle
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems along with practical cloud native experience
• Advanced knowledge of one or more software, application, and architecture disciplines
• Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture
• Proven experience in data modeling, including conceptual, logical, and physical models, with hands-on expertise using Erwin Data Modeler
• Strong understanding of data modeling principles, normalization, and data integration best practices.
• Experience in managing and documenting data models using Erwin, including version control and collaboration features.

• Experience in banking or financial domain