Hiring: Enterprise Data Architect Company: East West Bank Location: Pasadena, CA Job Posted Time: 2026-09-17 01:31:15 Target Skills & Keywords : Azure, Data Lake, Data Mesh, Data Pipeline, Databricks, Event-Driven, Feature Store, Kafka, Microservices, Regulatory Compliance, Spark About the job Experience: •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. Required Skills: •Define and lead the enterprise data architecture strategy, target-state roadmap, and modernization initiatives aligned to business priorities, AI enablement, and regulatory requirements. •Design scalable and secure enterprise data architectures supporting analytics, AI/ML, governance, regulatory reporting, and operational intelligence use cases. •Establish enterprise standards 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 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. Qualifications: •Deep expertise in enterprise data lifecycle management including data modeling, integration architecture, metadata management, lineage, master/reference data management, retention, and governance. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!