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Principal Architect, Cloud Data Engineering

JPMorgan Chase

Principal Architect, Cloud Data Engineering

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

2w ago

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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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study