What are the responsibilities and job description for the Senior Lead Data Architect position at JPMorgan Chase?
Join a diverse team of visionaries dedicated to making a lasting impact in the Card Technology industry.
As a Lead Data Architect at JPMorgan Chase within the Card Technology Team, you will have the opportunity to design and implement high-quality data architecture solutions for a range of software applications and platform products. As part of this diverse team of innovators, you will play a crucial role in advancing the Card Technology industry.
Job responsibilities
• Drive data architecture decisions that impact product design, application functionality, and technical operations and processes.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable solutions.
• Design and maintain data architecture frameworks that support business objectives and scalability.
• Map data requirements to downstream systems, facilitating efficient data flow and utilization.
• Develop and implement strategies for performing data completeness checks, ensuring data integrity and quality.
• Evaluate new and current technologies using existing data architecture standards and frameworks.
• Serve as a function-wide subject matter expert in one or more areas of focus
• Drives data architecture decisions that impact product design, application functionality, and technical operations and processes
Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 5 years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge of data modeling, database design, and data warehousing concepts
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Strong communication and collaboration skills to work effectively with cross-functional teams
Preferred qualifications, capabilities, and skills
• Develop secure, high-quality production codes and reviews and debugs code written by others
• API's, Micro Services frameworks, Data Platforms, Data Streaming, and Stream Processing techniques using Kafka, Flink, Apache Iceberg.
• AWS certification including Database Storage, Analytics, Machine Learning, and Application Integration Services
• Experience with Snowflake and Databricks is a plus