As a Senior Lead Solution Architect at JPMorganChase within the Securities Services Engineering & Architecture team, you will be part of a cross-functional agile team responsible for designing, assessing, and delivering high-quality solution architectures underpinning the platforms built as part of a strategic reengineering effort supporting the Securities Services businesses within the Commercial & Investment Bank. Solution Architecture, as practiced in this role, comprises three interrelated disciplines — Functional Architecture, Information Architecture, and Technical Architecture — and the Lead Solution Architect is expected to work fluidly across all three. You will engage across multiple concurrent streams of work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards.
Job Responsibilities
Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions.
Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration.
Apply AI tools and techniques to improve Solution Architecture practices — including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation.
Ensure full conformance with firm-wide, CIB, and sub-Line of Business (sub-LOB) architecture patterns and standards, participating in architecture governance bodies.
Lead evaluation sessions with external vendors, internal teams, and technology partners to assess architectural designs, technical credentials, and applicability within existing systems and information landscapes.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and solution quality.
Evangelize the benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums.
Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering or architecture concepts and applied experience.
Hands-on Solution Architecture experience in enterprise-sized applications spanning functional, information, and technical dimensions, with strong working knowledge of data modeling and meta-modeling (such as UML) or tools such as ERwin, Power Designer, or MagicDraw.
Knowledge of data architecture options including ODS, Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP, and the treatment of data as a technology asset.
Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling.
Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines.
Hands-on experience with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings.
Very strong knowledge of the Financial Services domain with emphasis on institutional businesses including Trading Middle Office, Prime Brokerage, Custody, Fund Accounting, and Securities and Derivatives Products across buy-side and sell-side perspectives.
Experience working within lean/agile development frameworks, continuous integration, and continuous delivery.
Extremely strong communication and facilitation skills across business and technology stakeholders, with the ability to communicate unambiguously through presentations, documents, workshops, and agile meetings.
- Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.
Preferred Qualifications, Capabilities, and Skills
Hands-on Public Cloud solution design experience, primarily AWS, including architecture certification for a Public Cloud provider.
Experience with microservice application development, Service-Oriented Architecture, or N-Tier Architecture.
Experience with Infrastructure as Code designs and secure application and software design practices.
Experience with Cyber Security concerns informing solution architectures, including working knowledge of industry standards in the authentication and authorization domains.
UML experience/exposure
Skills Required
- Formal training or certification on software engineering or architecture concepts
- Hands-on Solution Architecture experience spanning functional, information, and technical dimensions
- Working knowledge of data modeling and meta-modeling or tools such as ERwin, PowerDesigner, or MagicDraw
- Knowledge of data architecture options including ODS, Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP
- Knowledge of Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, and Data Migration
- Demonstrated proficiency in AI, machine learning, or related techniques applied to architecture or software engineering
- Hands-on object-oriented development experience using Java, Python, or C++; familiarity with XML and JSON
- Experience with database technologies including SQL, Oracle, Cassandra, and public cloud data offerings
- Very strong knowledge of Financial Services domain (Trading Middle Office, Prime Brokerage, Custody, Fund Accounting, Securities and Derivatives)
- Experience working within lean/agile frameworks, continuous integration, and continuous delivery
- Extremely strong communication and facilitation skills with business and technology stakeholders
- Experience applying enterprise-authorized AI capabilities in architecture and engineering workflows with data sensitivity awareness
- Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures meeting resiliency, security, and auditability requirements
- Hands-on Public Cloud solution design experience, primarily AWS, and cloud architecture certification
- Experience with microservice application development, Service-Oriented Architecture, or N-Tier Architecture
- Experience with Infrastructure as Code and secure application/software design practices
- Experience with cyber security concerns informing solution architectures, including authentication and authorization standards
- UML experience/exposure
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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