Senior Principal Architect, Data & Analytics Services

About the role

Join our team as a Senior Principal Architect within Corporate Technology – Corporate Data & Analytics Services (CDAS) at JPMorganChase. You will drive significant business impact by developing high-quality architecture solutions for software applications and platform products, shaping the target state architecture across multiple domains. Your leadership will influence technology investment, foster architectural craftsmanship, and ensure compliance with data governance and resiliency standards.

Responsibilities

• Own and maintain the target-state and transitional architectures for the CDAS tower, spanning Reference Data, KYC, and Common Trade and Position Data platforms supporting firmwide Finance and Risk functions.
• Lead architecture governance across the tower by establishing design principles, guardrails, and review processes to ensure cohesive alignment with CT architectural direction.
• Drive the modernization roadmap for critical data applications, balancing technical debt reduction, platform resilience, scalability, cost, and time-to-market.
• Chair or contribute to Architecture Review Boards; represent the tower in firmwide and CT architecture forums, providing reference patterns and governance guidance for broader adoption.
• Act as the primary technical interface with senior leaders, CTOs, Chief Architects, and business stakeholders to build trusted advisor relationships and influence technology investment decisions.
• Provide hands-on oversight and coaching to domain architects and engineering leads; intervene directly in complex design challenges and escalated technical decisions.
• Ensure all platforms adhere to firmwide data governance, data risk management policy, regulatory obligations, and security and resiliency standards, including multi-region resiliency requirements.
• Establish reuse-first AI-enabled engineering patterns across SDLC and toolchain practices, embedding traceability, auditability, and security controls by design.
• Mentor and develop a high-performing architecture practice; foster a community of craftsmanship across architects, engineers, and data practitioners in the tower.
• Translate highly complex technical issues, trends, and approaches to leadership to drive innovation and enable strategic, well-informed decisions about target state architecture.
• Establish portfolio-level guardrails for AI-assisted and agentic workflows, including traceability/auditability and control expectations aligned to resiliency and security standards.

Requirements

• Formal training or certification on architecture and software engineering concepts and 10+ years of applied experience, including 7+ years leading architecture for large-scale, mission-critical data platforms in complex, regulated environments.
• Deep expertise in data architecture patterns: data mesh, lakehouse, canonical data modeling, domain-driven design, event-driven and streaming architectures, CQRS, and API-led connectivity.
• Proven track record leading architecture governance at portfolio scale — design principles, ARB participation, standards enforcement, and cross-team alignment.
• Strong knowledge of AWS, cloud-native platforms, container orchestration, CI/CD, IaC, observability, and platform engineering practices.
• Experience with real-time and batch data processing technologies (Kafka, Databricks, Spark, Snowflake or equivalent) and their governance and resiliency patterns.
• Hands-on expertise in data governance: metadata management, lineage, data quality, classification, retention, and localization controls.
• Experience shaping and executing AI and Generative AI strategy within a technology organization, including LLM integration patterns, MLOps, model governance, and responsible AI practices.
• Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within architecture workflows, including validation practices and awareness of data sensitivity.
• Ability to evaluate and govern AI-enabled architectural patterns (including agentic workflows) with clear control boundaries, auditability, and human approval checkpoints aligned to resiliency and security expectations.
• Security and resiliency expertise: zero trust, multi-region DR, secrets management, chaos engineering, and site reliability practices.
• Executive presence with the ability to simplify complexity, influence across C-suite and engineering audiences, and drive consensus across competing priorities.

Preferred Qualifications

• Experience in global financial services and regulated environments; familiarity with compliance regimes (OCC, PRA, EBA, MAS) and architecture support for regulatory requirements.
• Relevant certifications: AWS Solutions Architect Professional, TOGAF, CISSP, or equivalent.
• Hands-on pragmatism — able to review code-level artifacts, data models, and infrastructure designs while maintaining a strategic lens.
• Experience with enterprise-scale data platform modernization, including legacy migration and strangler-fig approaches.
• Familiarity with FinOps and cost-aware data design (storage tiers, partitioning, lifecycle policies).
• Experience with firmwide data risk management frameworks and evidence-based audit support.

Benefits

• Competitive total rewards package including base salary, commission-based pay, and discretionary incentive compensation (cash and/or forfeitable equity).
• Comprehensive health care coverage, on-site health and wellness centers, and a retirement savings plan.
• Backup childcare, tuition reimbursement, mental health support, and financial coaching.