Enterprise Data Architect

Introduction

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.

East West Bank is seeking a highly experienced Enterprise Data Architect to lead the design, modernization, and governance of the bank’s enterprise data architecture strategy and AI-ready data ecosystem.

This role is designed for a hands‑on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and scalable AI/data‑driven architectures. The ideal candidate combines strong technical depth with practical implementation experience and the ability to drive enterprise alignment across business, technology, data, risk, compliance, and governance stakeholders.

The role will lead data architecture strategy and standards supporting enterprise analytics, AI/ML enablement, governance, regulatory reporting, operational intelligence, and modern data product delivery across the bank.

• Define and lead the enterprise data architecture strategy, target‑state roadmap, and modernization initiatives aligned to business priorities, AI enablement, and regulatory requirements.
• Design and maintain scalable and secured enterprise data architectures enabling analytics, AI/ML, governance, regulatory reporting, and operational intelligence use cases.
• Establish enterprise standards (approach, tooling, workflow) for data modeling, metadata management, lineage, reference architecture, semantic layers, integration patterns, and data lifecycle management.
• Lead architecture design for Azure‑native and cloud‑based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.
• Define reusable integration patterns across traditional ETLs, APIs, streaming platforms, operational systems, cloud platforms, and analytical environments.
• Partner with data governance, cybersecurity, risk, compliance, and legal teams to ensure architecture controls support data quality, privacy, retention, lineage, auditability, and regulatory compliance.
• Drive AI‑ready architecture initiatives including lakehouse design, semantic modeling, vectorized data architectures, metadata‑driven frameworks, and scalable AI data pipelines.
• Partner with engineering, analytics, and business teams to operationalize scalable data products and enterprise data domains.
• Evaluate and implement modern data architecture tooling including metadata/catalog platforms, observability solutions, orchestration frameworks, and governance technologies.
• Lead enterprise data architecture reviews and governance processes to ensure alignment with approved standards, security controls, and target‑state architecture principles.
• Serve as a senior advisor to executive leadership, translating complex architecture concepts into actionable technology and business strategies.
• Perform other duties as assigned.

• 8+ years of progressive experience in enterprise data architecture, large‑scale data platform modernization, data engineering, or solution architecture within financial services, fintech, insurance, or other highly regulated industries.
• Strong hands‑on experience designing and implementing enterprise data architectures in production environments, not solely strategy or governance roles.
• Deep expertise in enterprise data lifecycle management…