
Principal Architect, Cloud Data Engineering
at J.P. Morgan
Posted 17 hours ago
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- Compensation
- Not specified
- City
- Jersey City
- Country
- United States
Currency: Not specified
Senior technical leader responsible for designing and driving cloud-native data architecture and platforms across the firm. Acts as a subject-matter expert advising on technology selection, building scalable data ingestion and transformation frameworks, and delivering high-quality production code. Collaborates with stakeholders to create multi-year roadmaps, align strategy, and ensure operational stability for large data ecosystems such as data mesh, data lake, and data warehouse implementations.
Location: Jersey City, NJ, United States
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
- 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




