JPMorgan Data Architect III-Payments 

India, Maharashtra, Mumbai 

42506854

Job responsibilities

• Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces data architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Evaluates data architecture designs and provides feedback on recommendations
• Represents their team in architectural governance bodies
• Leads the data architecture team in evaluating new technologies to modernize the architecture using existing data standards and framework
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of data frameworks, applications, and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to data architecture communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong knowledge of one or more software applications and data architecture development
• Experienceas an Information or Data Analyst/Engineer
• Advanced hands-on experience of data analysis and data mining techniques
• Experience of interpreting Logical Data Models & creating Physical Data Models
• Knowledge of Logical Data Modelling Tools
• Knowledge of architecture discipline
• Proficiency in GitHub, Bitbucket, IntelliJ
• Proficiency in database and messaging technologies

• Working knowledge of Java, scripting languages
• Knowledge of MagicDraw and Erwin or other data modelling tools
• Knowledge of UML & ER modelling methods
• Knowledge of Wholesale Payments business
• Knowledge of Domain Driven Design