Senior Lead Data Architect

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJPlano, TX
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $186k
$124k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $158,200–$214,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1018 open roles on FindRole.

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At a glance

TL;DR · Senior Lead Data Architect

As a Senior Lead Data Architect within the Commercial & Investment Bank, Middle Office & Shared Services team, you will serve as a subject matter expert to influence target-state architecture and strategy. You will advise on information architecture across multiple products, establish governance bodies to define standards and metrics, and create reusable frameworks to improve delivery velocity. Your daily work involves translating complex technical trends for senior leadership, evaluating emerging technologies for enterprise fit, and leading the adoption of authorized AI capabilities for analysis and engineering workflows. The role requires expertise in relational, NoSQL, and graph databases, as well as ETL tools, data mining, and governance frameworks. You will navigate hybrid and multi-cloud environments to solve complex information flow problems while ensuring all solutions meet strict requirements for durability, security, and auditability within the financial services sector.

What you'll do

  • Advise on and lead information architecture strategy across multiple products, applications, and technologies.
  • Translate complex technical issues and architectural trends into actionable insights for senior leadership.
  • Establish and lead an architecture governance body to define standards, metrics, and guardrails.
  • Create durable, reusable frameworks to improve development velocity and output quality across teams.
  • Reduce tooling duplication and clarify ownership while maintaining authoritative technology status and lifecycle governance.
  • Evaluate emerging technologies and AI capabilities for enterprise fit and adoption readiness.
  • Establish portfolio-level guardrails for AI-assisted workflows to ensure traceability, auditability, and security.

What we're looking for

  • Formal training or certification on information architecture concepts and 5+ years of applied experience.
  • Practical experience delivering system design, application development, testing, and operational stability in enterprise-scale environments.
  • Deep expertise in data management architectures including relational, NoSQL, and graph database technologies.
  • Hands-on experience with ETL tools and processes for managing data pipelines, warehouses, and lakes.
  • Proficiency in data analytics, data mining tools, and data governance frameworks.
  • Extensive practical cloud-native experience with a strong understanding of hybrid and multi-cloud operational models.
  • Demonstrated experience leading the safe adoption of enterprise-authorized AI capabilities within architecture workflows.
  • Advanced certifications in cloud, enterprise architecture, IT service management, site reliability engineering, or security (preferred).

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