Senior Principal Data Architect: AI-Driven Modernization

Aumni; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Senior Principal Architect to own the target-state architecture for CDAS across Reference Data, KYC, and Trade data platforms, guiding modernization and governance across the firm’s finance and risk functions. You will lead architecture governance, drive AI-enabled patterns, and mentor a high-performing architecture practice with senior stakeholder engagement.

The role requires 10+ years in architecture for large-scale data platforms, strong leadership, and an ability

Qualifications

• 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 the governance and resiliency patterns that operate within them
• 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 the work environment across 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

Responsibilities

• Owns and maintains the target-state and transitional architectures for the CDAS tower, spanning Reference Data, KYC, and Common Trade and Position Data platforms that support Finance and Risk functions firmwide
• Leads architecture governance across the tower - establishing design principles, guardrails, and review processes that ensure solutions are built consistently and cohesively with CT architectural direction
• Drives the modernization roadmap for critical data applications, balancing technical debt reduction, platform resilience, scalability, cost, and time-to-market
• Chairs or contributes to Architecture Review Boards; represents the tower in firmwide and CT architecture forums, contributing reference patterns and governance guidance for broader adoption
• Acts as primary technical interface with senior leaders, CTOs, Chief Architects, and business stakeholders — building trusted advisor relationships and influencing technology investment decisions
• Provides hands-on oversight and coaching to domain architects and engineering leads; intervenes directly in complex design challenges and escalated technical decisions
• Ensures all platforms adhere to firmwide data governance, data risk management policy, regulatory obligations, and security and resiliency standards — including multi-region resiliency requirements
• Establishes reuse-first AI-enabled engineering patterns across SDLC and toolchain practices, ensuring traceability, auditability, and security controls are embedded by design
• Mentors and develops a high-performing architecture practice; fosters a community of craftsmanship across architects, engineers, and data practitioners in the tower
• Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about target state architecture Sr Principal Architect.docx
• Establishes portfolio-level guardrails for AI-assisted and agentic workflows used in architecture and engineering governance, including traceability/auditability and control expectations aligned to resiliency and security standards

Skills

Data mesh

Lakehouse

Domain-driven design

Event-driven architecture

CQRS

API-led connectivity

AWS cloud-native

Architecture governance

Executive presence

Stakeholder engagement

Tools

Kafka

Databricks

Spark

Snowflake

Job description

JPMorganChase is seeking a Senior Principal Architect to own the target-state architecture for CDAS across Reference Data, KYC, and Trade data platforms, guiding modernization and governance across the firm’s finance and risk functions. You will lead architecture governance, drive AI-enabled patterns, and mentor a high-performing architecture practice with senior stakeholder engagement.

The role requires 10+ years in architecture for large-scale data platforms, strong leadership, and an ability