DSS Architecture Principal Architect

• Advise cross-functional teams on technology selection and architecture

trade-offs, balancing delivery speed, resiliency, security, operational stability, cost, maintainability, and strategic alignment.

• Lead architecture for complex hybrid estates, including cloud, on-premises,

SaaS, mainframe, midrange, distributed compute, data, workflow, observability, automation, and integration technologies as relevant to the assigned scope.

• Support the development of target-state architecture, capability maps,

reference architectures, and multi-year modernization roadmaps for assigned DSS product lines, platforms, or strategic initiatives.

• Create and maintain reusable architecture patterns, reference

implementations, design guidance, and machine-readable architecture artefacts that make secure and compliant delivery easier for engineering teams.

• Partner with other Principal Architects and architecture governance teams to

improve and mature architecture governance processes, including RFCs, ADRs, controls traceability, and auditable decision records.

• Apply enterprise-authorized AI capabilities to accelerate architecture

analysis, roadmap development, impact assessment, and engineering practices, with human-in-the-loop validation, appropriate handling of sensitive data, and effective resiliency, security, and auditability controls.

• Remain hands-on in technical delivery, including architecture modeling of

platforms and technical products; develop, review, and debug high-quality production code, prototypes, infrastructure definitions, or automation.

• Mentor architects and senior engineers, and communicate technical strategy

and decisions effectively to senior leaders and executives.

• Formal training or certification on architecture concepts and 10+ years

applied experience.

• Deep knowledge of software, applications, and architecture across one or more

relevant disciplines, such as infrastructure platforms, cloud and hybrid infrastructure, distributed systems, data and integration architecture, mainframe or midrange platforms, network and compute, observability, resilience engineering, or enterprise workflow platforms.

• Hands-on experience delivering system design, application or platform

development, testing, automation, and operational stability in complex, production environments.

• Expertise in one or more programming languages.
• Expertise in architecture modeling for platforms and technical products.
• Demonstrated experience developing target-state architecture and multi-year

technology roadmaps, including modernization, migration, technical-debt reduction, and legacy coexistence.

• Experience making and documenting complex architecture decisions, including

trade-offs across availability, performance, security, cost, maintainability, and regulatory or control requirements, with a strong risk and controls mindset covering secure-by-design practices, least privilege, cyber and operational resiliency, disaster recovery, auditability, data governance, and production readiness.

• Experience applying expertise and new methods to determine solutions for

complex architecture problems in one or more technical disciplines.

• Experience leading a product, platform, or significant technology initiative

as a product owner, product manager, technical lead, or architect.

• Proven ability to influence across a matrixed organization, build alignment

among senior stakeholders, and communicate technical strategy clearly to both engineering teams and executives.

• Experience architecting or modernizing mission-critical platforms supporting

infrastructure services, financial transaction processing, payments, enterprise data, electronic trading, or high-volume digital workflows.

• Hands-on experience with AWS and infrastructure as code using Terraform.
• Experience with platform engineering, self-service capabilities, service

catalogs, reusable infrastructure patterns, and API or event-driven integration.

• Experience with infrastructure inventory, metadata, data quality, lineage,

data contracts, data mesh or data-product practices, and analytical or operational data platforms.

• Hands-on experience designing agentic AI capabilities, including reusable

agent skills, Model Context Protocol (MCP) integrations, context engineering, and related tools and controls.

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.