Lead Data Architect, Modern Platforms & AI-Driven Payments

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorgan Chase & Co. within Commercial Card and B2B Commerce seeks a Lead Data Architect to define and drive modern data architecture for payments, client experiences, analytics, and AI.

You will design Data Lake, Data Mesh, Data Federation, and Data Product capabilities using Databricks, Apache Spark, AWS Glue, and cloud-native services, ensuring governance, security, and scalable patterns. This role provides technical leadership across product and delivery teams, requiring strong stakeholder

Qualifications

• Formal training or certification on data architecture concepts and 5+ years 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 and distributed data platforms.
• Experience with APIs, event-driven architecture, streaming, data-sharing, 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.
• Ability to translate architecture and business intent into clear specifications that guide implementation, testing, and validation.
• Strong stakeholder management, communication, technical leadership, and architecture governance skills.

Responsibilities

• Defines the data architecture target state for Commercial Card and B2B Commerce and drives execution of the strategy.
• Designs modern Data Lake, Data Mesh, Data Federation, and domain-oriented Data Product capabilities.
• Architects scalable data solutions using Databricks, Apache Spark, AWS Glue, AWS services, APIs, events, streaming, and modern data-sharing patterns.
• Defines standards for data modeling, metadata, lineage, data quality, governance, security, and compliance.
• Designs solutions across relational, NoSQL, distributed, and cloud-native database technologies.
• Drives adoption of spec-driven development and agentic engineering patterns to improve how data solutions are designed, built, tested, validated, and delivered.
• Leverages enterprise-authorized AI and agentic capabilities across the engineering lifecycle while maintaining appropriate human validation, security, traceability, resiliency, and auditability.
• Partners with product, engineering, business, and architecture teams to deliver strategic payment, data, and client capabilities.
• Provides technical leadership and architecture governance across multiple products and delivery teams.
• Evaluates emerging technologies and drives adoption of reusable, resilient, and scalable architecture patterns.

Skills

Data architecture

Data engineering

Enterprise data management

Cloud technologies

APIs & event-driven

Data governance

AI-assisted engineering

Tools

Databricks

Apache Spark

AWS Glue

AWS services

Job description

JPMorgan Chase & Co. within Commercial Card and B2B Commerce seeks a Lead Data Architect to define and drive modern data architecture for payments, client experiences, analytics, and AI.

You will design Data Lake, Data Mesh, Data Federation, and Data Product capabilities using Databricks, Apache Spark, AWS Glue, and cloud-native services, ensuring governance, security, and scalable patterns. This role provides technical leadership across product and delivery teams, requiring strong stakeholder