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JPMorgan Data Architect III 
India, Telangana, Hyderabad 
845495691

26.06.2024

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

  • [Action Required: Insert 1st bullet according to Years of Experience table]
  • Strong knowledge of one or more software applications and data architecture development
  • Ability to evaluate current technologies to recommend ways to optimize data architecture
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficiency in coding in one or more languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies