J.P. Morgan
Overview
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.
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
APIs, 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
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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.
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
APIs, 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
#J-18808-Ljbffr