JPMorgan Principal Architect 

India, Telangana, Hyderabad 

655732419

Job responsibilities

• Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies
• Develops multi-year roadmaps aligned with business and architecture strategy and priorities
• Creates complex and scalable coding frameworks using appropriate software design
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Serves as the function’s go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions
• Champions the firm’s culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Expertise in Java language
• Deep knowledge in one or more software, applications, and architecture
• Advanced knowledge of software architecture, application development, and technical processes with cloud experience.
• Understanding of Data Architectures and models across operational and analytic use cases (e.g., OLTP modeling, Star schema, Low latency analytical)
• Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines
• Ability to present and effectively communicate to Senior Leaders and Executives
• Understanding of the business
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Data Management Practices, including Data Dictionaries & vocabularies, Lineage, Cataloging & registration, logical & physical representations of data, Data Quality
• Data Governance practices, such as evaluating metadata & data, assess for usability, standard definition, publishing standards, drift monitoring
• Focus on forward engineering practices rather than tollgates using development type artifacts / manifests rather than PPT/XLS paperwork
• Data Standards for all data publishing, regardless of operational/analytical, and how that advances the greater good
• Business architecture application methods, including mapping of business capabilities, services, processes to the information and data architecture