As a Lead Architect at JPMorganChase within the Chief Administrative Office Technology, youare an integral part of a team that works to develop high-quality data architecture solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for carrying out critical data architecture solutions across multiple technical areas within various business functions in support of 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
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
Formal training or certification on Data, or Information Architecture systems and applied experience
Hands‑on practical experience delivering Information architecture, data modeling and data governance solutions
Advanced knowledge of Information architecture principles and one or more data modeling tools
Proficiency in automation and continuous delivery methods
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
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
Understanding of Product Operation Model / Data as Product methodologies
Preferred qualifications, capabilities, and skills
Familiarity with tools for data cataloging, governance and architecture (Collibra, Informatica, Erwin)
Knowledge of TOGAF, Zachman or similar frameworks
Excellent communication and presentation skills
Attention to detail with organizing and structuring information
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