Lead Data Architect - Chase Card Services

JPMorgan ChaseWilmington, DE
73d

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.
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