Enterprise Data Architect

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 an experienced Enterprise Data Architect to define and lead the bank’s enterprise-wide data architecture strategy, standards, and target-state data ecosystem. This role will operate initially as an individual contributor with significant strategic influence across enterprise initiatives.

Day-to-Day Responsibilities

• Define and maintain the bank’s enterprise data architecture roadmap, including target-state architecture, data domains, canonical models, integration patterns, and modernization strategies aligned to business and regulatory priorities.
• Design and govern enterprise-wide data architecture standards, including logical and conceptual data models, metadata standards, reference architectures, naming conventions, and data lifecycle management practices.
• Partner with business and technology stakeholders to establish scalable enterprise data domains and master/reference data strategies across critical banking entities such as customer, account, product, transaction, and legal entity.
• Lead architecture design and governance for enterprise data platforms leveraging Azure-native technologies, including:
• Azure Databricks
• Azure Data Lake Storage (ADLS Gen2)
• Azure Synapse Analytics
• Azure Data Factory
• Microsoft Fabric
• Power BI ecosystem
• Define reusable data integration and interoperability patterns across operational systems, cloud platforms, APIs, streaming frameworks, and downstream analytical environments.
• Develop enterprise architecture guidance for data products, lakehouse architecture, metadata management, lineage, and semantic modeling, ensuring consistency and scalability across the organization.
• Collaborate with data governance, risk, compliance, and cybersecurity teams to establish architecture controls supporting:
• Data quality
• Data lineage
• Data retention
• Access governance
• Regulatory compliance
• Evaluate and recommend modern data architecture technologies, tooling, and frameworks, including metadata/catalog platforms, data observability solutions, and AI-ready architectures.
• Partner with data engineering and analytics teams to ensure architectural alignment across enterprise data initiatives, including machine learning, advanced analytics, regulatory reporting, and self-service BI.
• Participate in enterprise architecture review boards and technology governance processes, ensuring projects align with approved architectural principles and target-state standards.
• Create and maintain enterprise architecture artifacts, including:
• Data flow diagrams
• Conceptual/logical data models
• System interaction diagrams
• Reference architectures
• Architecture decision records (ADRs)
• Serve as a senior technical advisor to executive leadership, translating complex architecture concepts into actionable business and technology strategies.
• Assess emerging trends in enterprise data architecture, AI/GenAI enablement, semantic layers, and data mesh/data fabric frameworks to guide future-state capability planning.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or a related technical discipline.
• 10+ years of progressive experience in enterprise data architecture, data engineering, solution architecture, or large-scale data platform modernization, preferably within banking or other highly regulated industries.
• Deep expertise in enterprise data architecture principles, including:
• Conceptual/logical/physical data modeling
• Data integration architecture
• Master data management (MDM)
• Metadata management
• Data lineage and governance frameworks
• Strong experience designing and implementing cloud-native enterprise data platforms, particularly within an Azure ecosystem, including Azure Databricks, Synapse, Azure Data Factory, ADLS Gen2, and Microsoft Fabric.
• Strong understanding of modern enterprise architecture patterns, including:
• Lakehouse architecture
• Data mesh / data fabric concepts
• Event-driven architecture
• API-based integration
• Distributed data processing frameworks
• Experience with enterprise data modeling and architecture tools such as:
• Erwin
• ER/Studio
• Lucidchart
• Visio
• Collibra
• Microsoft Purview
• Strong knowledge of enterprise metadata management, data cataloging, and lineage frameworks supporting regulatory and operational transparency.
• Experience establishing architecture standards and governance processes across large-scale, cross-functional enterprise environments.
• Strong understanding of banking regulatory and risk management considerations related to data governance, privacy, retention, and auditability.
• Experience partnering with engineering, analytics, cybersecurity, infrastructure, and business stakeholders to drive enterprise-wide architectural alignment.
• Strong communication and stakeholder management skills, with the ability to influence senior leadership and drive consensus across technical and non-technical teams.
• Ability to operate effectively as a highly autonomous individual contributor, balancing strategic planning with hands-on architectural leadership.

Preferred Qualifications

• Master’s degree in Computer Science, Information Systems, Data Architecture, or related discipline.
• Experience within commercial banking, consumer banking, risk management, regulatory reporting, or enterprise analytics environments.
• Familiarity with banking regulatory frameworks and standards related to BCBS 239, SR 11-7, CCAR, CECL, AML/BSA, and enterprise risk reporting.
• Experience designing architecture for AI/ML and GenAI-enabled platforms, including vectorized data architectures, semantic search, and AI-ready data pipelines.
• Experience implementing enterprise metadata/catalog and governance solutions such as Collibra, Alation, Microsoft Purview, or Informatica.
• Knowledge of enterprise integration and messaging frameworks, including Kafka, RESTful APIs, and event-driven architecture patterns.
• Architecture certification(s) such as:
• Azure Solutions Architect Expert
• Databricks Certified Professional
• Prior experience building or scaling enterprise architecture or data governance functions.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Compensation

The base pay range for this position is USD $150,000.00/Yr. - USD $250,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.