Lead Data Architect – Modern Data Platforms & Integration

Lead Data Architect – Modern Data Platforms & Integration

Chicago, IL, United States

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Job Information

Job Identification

210800809

Job Category

Architecture

Business Unit

Commercial & Investment Bank

Posting Date

10/26/2026, 04:50 PM

Locations

10 S Dearborn St, Chicago, IL, 60603, US

Job Schedule

Full time

Base Pay/Salary

Chicago,IL $137,750.00-$185,000.00

Job Description

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

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.