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JPMorgan Lead Architect Product United States, Delaware, Wilmington 93674795
17.08.2024
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Job responsibilities
- Partners with business stakeholders and technologists to understand their needs and developing the future state architecture.
- Develops and maintains a multi-horizon roadmap.
- Expertise with developing the architecture for solutions, balancing the schedule needs, the roadmap, business and technology strategies.
- Communicates the architecture to senior business and technology leaders.
- Drives solutions to both internal and public cloud infrastructures.
- Oversees the cost trade-offs.
- Drives decisions that influence product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Ability to learn quickly and recognize patterns in problems and solutions.
- Expertise in architecting cloud migrations and building cloud-native systems
- Has a deep knowledge in a particular technology and business solution.
- Communicates with all levels of business and technology management.
- Expertise in application, data, and infrastructure architecture disciplines.
- Fluency in architecture and design across all systems
- Strong knowledge of the AWS cloud and private clouds.
- Strong knowledge of big data, Hadoop, AWS storage, and AWS and COTS database solutions
Preferred qualifications, capabilities, and skills
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
- Good presentation skills as well as strategic thinking and passion for business strategy and business processes
- Applications development, ETL or data warehousing and prior Fin-tech experience is highly preferred
- Desire to learn and understand machine learning and how to incorporate into multi-layered applications
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