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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Lead Data Architect, Consumer Card Technology

职能运营
级别Lead级
地点Wilmington, Germany, United States
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

AWS

Kafka

Machine Learning

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 experience with data modeling, database design, and data warehousing concepts
  • Develop, optimize, and maintain conceptual, logical, and physical data models to support migration requirements and ensure data integrity
  • Establish and enforce data quality standards, perform data profiling, and collaborate with stakeholders to resolve data inconsistencies or issues
  • Create and maintain comprehensive documentation for data models, mapping specifications, and migration processes, ensuring compliance with data governance and regulatory standards.
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • 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

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.5

薪酬

4.0

企业文化

3.8

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

薪资范围

44个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 75%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study