JPMorgan Chase
Senior Principal Architect, Data & Analytics Services
$233K–$325K
Jersey City, NJ · Principal · Full-time · Posted Jul 17, 2026
- Experience
- 10+ years of applied experience, including 7+ years leading architecture for large-scale, mission-critical data platforms in complex, regulated environments.
- Education
- Formal training or certification on architecture and software engineering concepts.
About the job
Owns target-state architecture and modernization for firmwide Reference Data, KYC, and Common Trade and Position Data platforms supporting Finance and Risk, while leading governance, AI adoption, and resiliency.
What you'll do
- Maintains target-state and transitional architectures, and leads architecture governance and review processes.
- Drives platform modernization and establishes AI-enabled engineering patterns and guardrails for architecture and engineering workflows.
- Advises senior leaders, coaches architects and engineering leads, and ensures platforms meet data governance, regulatory, security, and resiliency standards.
What they ask for
- Formal training or certification in architecture and software engineering concepts.
- Deep expertise in data architecture patterns, including data mesh, lakehouse, canonical data modeling, and event-driven and streaming architectures.
- Experience leading portfolio-scale architecture governance and working with AWS, cloud-native platforms, and data processing technologies.
- Expertise in data governance, AI and Generative AI strategy, and security and resiliency practices.
Nice to have
- Experience in global financial services or regulated environments; familiarity with OCC, PRA, EBA, or MAS compliance regimes.
- AWS Solutions Architect Professional, TOGAF, CISSP, or equivalent certification.
Pay
USD 232,750.00-USD 325,000.00 base salary
Tools
AWS, Kafka, Databricks, Spark, Snowflake, CI/CD, IaC, MLOps
AI focus
Leads AI adoption and establishes AI-assisted and agentic architecture and engineering workflows, including LLM integration patterns, MLOps, model governance, responsible AI, validation, traceability, auditability, security controls, and human approval checkpoints.
Model-written summary · the original posting is authoritative