Lead Data Architect, Modern Data Platforms & Integration

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
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 $197k
$134k $256k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$232,912.

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 1239 open roles on FindRole.

Listed pay typically runs $136,000–$207,500 across 6 roles with salary data.

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At a glance

TL;DR · Lead Data Architect, Modern Data Platforms & Integration

JOB TITLE: Lead Data Architect – Modern Data Platforms & Integration As a Lead Data Architect within the Commercial Card and B2B Commerce team, you will serve as a core technical contributor defining the target state for modern data architecture. You will design and drive the execution of scalable solutions for payments, client experiences, analytics, and AI. Your daily work involves architecting Data Lake, Data Mesh, Data Federation, and reusable Data Products using Databricks, Apache Spark, AWS Glue, and various cloud-native database technologies. You will establish standards for data modeling, lineage, governance, and security while promoting spec-driven development and agentic build patterns. By leveraging APIs, events, and streaming, you will solve complex data integration problems and modernize data estates to support high-quality, resilient, and compliant enterprise data capabilities.

What you'll do

  • Define and drive the execution of the data architecture target state for Commercial Card and B2B Commerce.
  • Design modern Data Lake, Data Mesh, Data Federation, and domain-oriented Data Product capabilities.
  • Architect scalable data solutions using Databricks, Apache Spark, AWS Glue, and cloud-native database technologies.
  • Establish standards for data modeling, metadata, lineage, data quality, governance, security, and compliance.
  • Drive the adoption of spec-driven development and agentic engineering patterns across the engineering lifecycle.
  • Implement enterprise-authorized AI and agentic capabilities while ensuring security, traceability, and auditability.
  • Provide technical leadership and architecture governance across multiple products and delivery teams.
  • Evaluate emerging technologies to drive the adoption of reusable, resilient, and scalable architecture patterns.

What we're looking for

  • Formal training or certification on data architecture concepts and 5+ years of applied experience.
  • Proven experience in Data Architecture, Data Engineering, or Enterprise Data Management within large-scale environments.
  • Expertise in Data Lake, Data Mesh, Data Federation, Data Products, and modern data platform architectures.
  • Hands-on experience with Databricks, Apache Spark, AWS Glue, AWS services, and cloud-native data technologies.
  • Experience designing architectures across multiple database technologies, APIs, event-driven architecture, streaming, and enterprise integration patterns.
  • Deep understanding of data modeling, metadata, lineage, data quality, governance, security, and compliance.
  • Experience with modern SDLC practices, automation, continuous delivery, and AI-assisted or agentic software engineering.
  • Experience with Commercial Card, B2B payments, or transaction processing platforms (preferred).

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