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职位JPMorgan Chase

Principal Architect, Cloud Data Engineering

JPMorgan Chase

Principal Architect, Cloud Data Engineering

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

2mo ago

必备技能

Go

Step into the role of a Principal Architect at JPMorgan Chase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies.

As a Principal Architect at JPMorgan Chase within the Corporate Data & Analytic Services team which is a part of Corporate Technology, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes.

Job responsibilities

  • Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies
  • Develops multi-year roadmaps aligned with business and architecture strategy and priorities
  • Creates complex and scalable coding frameworks using appropriate software design
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Serves as the function’s go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 7+ years applied experience.
  • Deep expertise with products related to APIs, SDKs, Micro services’ frameworks, Developer Platforms (including Cloud native tooling), IAM (Identity and Access Management)
  • Hands‑on technical architect for large data ecosystems: designed and operated data mesh, data lake, and data warehouse architectures using Databricks or Snowflake.
  • Experience building standardized, durable, and reusable data ingestion and transformation frameworks that convert heterogeneous inputs into certified, governed outputs.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Expertise in one or more programming language(s) and experience working at code level
  • Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines
  • Experience engaging stakeholders across an organization to set strategy, align on priorities and deliver to a roadmap while managing to changing business needs and requirements
    Preferred qualifications, capabilities, and skills- Advanced Degree in Computer Science
  • Ability to present and effectively communicate to Senior Leaders and Executives
  • Passion for building high-quality developer experiences and a commitment to product excellence

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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

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%

推荐给朋友

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

面试经验

4次面试

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