Lead Data Architect

JPMorgan Chase JPMorgan Chase · Banking · Singapore · Corporate Sector

Lead Data Architect at JPMorgan Chase responsible for developing high-quality data architecture solutions, driving business impact, and shaping global target state architecture. The role involves representing the data architecture team at technical governance bodies, evaluating technologies, providing technical guidance, developing production code, and influencing peers on leading-edge technologies.

What you'd actually do

  1. Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices
  2. Evaluates new and current technologies using existing data architecture standards and frameworks
  3. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  4. Develops secure, high-quality production code and reviews and debugs code written by others
  5. Drives data architecture decisions that impact product design, application functionality, and technical operations and processes

Skills

Required

  • Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
  • 5+ years of experience in data architecture
  • system design
  • application development
  • testing
  • operational stability
  • Advanced in one or more programming languages, applications, and architecture
  • Advanced knowledge of architecture, applications, and technical processes
  • in-depth knowledge in one or more technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently
  • Practical cloud native experience
  • Ability to evaluate current and emerging technologies

What the JD emphasized

  • 5+ years of experience in data architecture
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience
  • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture