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职位JPMorgan Chase

Principal Architect — Identity, Data Modeling, and Platform APIs

JPMorgan Chase

Principal Architect — Identity, Data Modeling, and Platform APIs

JPMorgan Chase

LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

3mo ago

必备技能

Kubernetes

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 Core Infrastructure Platforms Architecture team 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. You will design the data and API foundations that connect identity, authority, ownership, and permission to workload deployment on IaaS platforms and hypervisors. This is a senior individual contributor role, focused on rigorous data modeling, software and API design, and identity architectures in a large, regulated financial environment. You will define canonical models and service contracts, ensure designs meet regulatory and control requirements, and partner closely with platform, engineering, and development teams.

Job responsibilities

  • Defines and owns canonical data models capturing identity, authority, ownership, and permissions across compute, storage, and network resources; model relationships among people, services, applications, and infrastructure assets.
  • Designs and evolves APIs and service contracts for entitlements and workload onboarding to IaaS and hypervisor platforms; establish versioning, compatibility, lifecycle, and governance for these interfaces.
  • Architects identity‑aware provisioning flows and guardrails: integrate with directory and identity systems (e.g., Kerberos, Active Directory), enforce RBAC/ABAC, separation of duties, least privilege, and auditable change.
  • Establishes and maintains data structures used for technology governance (e.g., product catalogs, inventories/CMDB, configuration attributes, organizational hierarchies) with clear sources of truth, lineage, and stewardship.
  • Embeds compliance and controls into designs: evidence and traceability for regulatory obligations on identity, access management, and operational risk; align with firm policies and applicable regulations.
  • Partners with platform teams (hypervisors, IaaS, Kubernetes) and application developers to ensure secure, operable, and scalable workload deployment patterns; produce reference architectures, patterns, and reusable templates.
  • Defines policies and policy‑as‑code approaches for identity, authorization, configuration, and change; integrate controls into CI/CD and provisioning pipelines.
  • Drives data quality and observability for governance datasets: schemas, validations, metadata, golden records, reconciliation, and reporting.
  • Conducts architecture/design reviews; document decisions, risks, exceptions/waivers, and remediation plans; present in governance forums.
  • Promotes effective ways of working: help organize team backlogs and ceremonies, ensure Jira/Kanban hygiene, run stand‑ups, and track delivery metrics to keep the team productive.
  • Mentors engineers and architects; foster a collaborative, low‑ego, outcome‑focused culture.

Required qualifications, capabilities, and skills

  • Formal training or certification on software Infrastructure Architecture concepts and expert applied experience
  • Extensive experience architecting in large, complex, regulated financial services environments, including identity‑centric designs and production delivery.
  • Deep expertise in enterprise identity management and directory services, including:
  • Kerberos and Active Directory (forests/domains, trusts, group nesting, SPNs, constrained delegation, service accounts, PKI).
  • Authorization models and controls (RBAC, ABAC, policy evaluation, least privilege, privileged access, break‑glass, JIT access).
  • Strong data modeling skills (relational, hierarchical, graph) and schema design for governance datasets (product catalogs, CMDB/inventory, configuration attributes, organizational structures).
  • Professional software and API design experience: REST/gRPC API design, versioning and compatibility strategies, service contracts, error models, pagination, performance, and security.
  • Hands‑on understanding of IaaS and hypervisor platforms and how identity/authorization integrates with provisioning, lifecycle, and operations.
  • Demonstrated ability to embed regulatory, risk, and control requirements into architecture and provide audit‑ready evidence and traceability.
  • Excellent communication and stakeholder management; able to collaborate deeply with developers and platform engineers to deliver pragmatic solutions.

Preferred qualifications, capabilities, and skills- Experience with policy‑as‑code and controls (e.g., OPA, Conftest, Sentinel) and mapping to control frameworks.

  • Familiarity with Kubernetes platform identity (workload identity, service accounts), service meshes, and identity‑aware networking.
  • Experience with data governance practices: stewardship models, MDM, reference data, lineage, and reconciliation.
  • Background in secrets management, mTLS/PKI, and certificate lifecycle for services.
  • Track record improving team productivity via agile ways of working, backlog management, and delivery metrics.
  • Relevant certifications (e.g., identity/directory, security, architecture).

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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