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