JPMorgan Sr Lead Data Architect 

United States, New Jersey, Jersey City 

137408868

Job responsibilities

• Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices
• Evaluates new and current technologies using existing data architecture standards and frameworks
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure, high-quality production code and reviews and debugs code written by others
• Drives data architecture decisions that impact 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 data frameworks, tools, and practices in the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Advises junior architects and technologists
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data architecture concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming languages, applications, and architecture
• 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
• Adds to team culture of diversity, equity, inclusion, and respect

• Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc.