Lead Data Architect: Modern Data Platforms & Integration

JPMorgan Chase; Chicago (IL); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Lead Data Architect for Commercial Card and B2B Commerce to define the target data architecture and drive the strategy across data lake, mesh, federation and data products. You will architect scalable solutions using Databricks, Spark, and AWS services, while ensuring governance, security, and compliance across multiple data platforms.

You will collaborate with product, engineering, and business teams to deliver payments, data, and client capabilities, providing

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

Communication

Technical Leadership

Architecture Governance

SDLC Automation

Agentic Software Engineering

Stakeholder Management

Tools

Databricks

Apache Spark

AWS Glue

AWS Services

Data Federation

Data Lake

APIs / Event-driven Architecture

Job description

JPMorganChase is seeking a Lead Data Architect for Commercial Card and B2B Commerce to define the target data architecture and drive the strategy across data lake, mesh, federation and data products. You will architect scalable solutions using Databricks, Spark, and AWS services, while ensuring governance, security, and compliance across multiple data platforms.

You will collaborate with product, engineering, and business teams to deliver payments, data, and client capabilities, providing