Real job — pulled straight from JPMorgan Chase’s careers page · Verified November 2, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Lead Data Architect — a full-time, based in Chicago, IL role. Apply directly on JPMorgan Chase's careers page below.
Lead Data Architect – Modern Data Platforms & Integration
Location: Chicago, IL, United States
Your goal is to become a key player among imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Don’t miss this chance to collaborate with brilliant minds and shape the modern data capabilities powering Commercial Card and B2B Commerce.
As a Lead Data Architect at JPMorganChase within Commercial Card and B2B Commerce, you are an integral part of a team developing high-quality data architecture solutions for payments, client experiences, analytics, and AI. As a core technical contributor, you will define and drive modern data architecture across Data Lake, Data Mesh, Data Federation, and reusable Data Products, leveraging Databricks, Apache Spark, AWS Glue, AWS services, and a diverse database ecosystem. You will also help advance modern engineering practices, including spec-driven development and agentic build patterns, to accelerate delivery while improving quality, consistency, and control.
Job 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.
Required qualifications, capabilities, and skills
- 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
Preferred qualifications, capabilities, and skills
- Experience with Commercial Card, B2B payments, transaction processing, or commercial payments platforms.
- Experience with payment and transaction data, client integration, servicing, reporting, reconciliation, or analytics.
- Experience architecting large-scale data solutions using Databricks and AWS technologies.
- Experience implementing spec-driven development, agentic build/test workflows, or AI-enabled SDLC automation.
- Experience modernizing complex data estates spanning legacy, relational, NoSQL, distributed, and cloud-native platforms.
- Experience enabling enterprise data for advanced analytics, AI/ML, and client-facing capabilities.
About Us
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Organization
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Drive modern data architecture for Commercial Card & B2B Commerce using Databricks, AWS, and AI.Get Data Engineer jobs like this→
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Frequently asked questions
What skills are required for Lead Data Architect at JPMorgan Chase?
The required skills for Lead Data Architect at JPMorgan Chase include: Data Engineering, Databricks, Spark, AWS, API, AI.
What is the seniority level for Lead Data Architect at JPMorgan Chase?
Lead Data Architect at JPMorgan Chase is a Lead / Senior level position.
How do I apply for Lead Data Architect at JPMorgan Chase?
You can view the full description and apply for Lead Data Architect at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-lead-data-architect-modern-data-platforms-integration-6mt2u.