Fabric and Data Engineer

East West Bank•Pasadena, CA

About The Position

East West Bank is seeking a Microsoft Fabric Engineer to design, implement, and support enterprise data solutions using Microsoft Fabric and Azure technologies. The role focuses on building secure, scalable, automated, and reliable data platforms for analytics, reporting, and AI initiatives. The engineer will work with cloud, infrastructure, security, data, application development, and business teams. Applicants must be legally authorized to work in the United States; visa sponsorship is not offered.

Requirements

5+ years of experience in data, cloud, platform, or database engineering.
Hands-on experience with Microsoft Fabric and Azure data services.
Strong SQL skills and experience with Python and/or PySpark.
Experience with ETL/ELT pipelines, data lakes, warehouses, and Lakehouse architectures.
Experience with Git, CI/CD, automation, and production support practices.
Understanding of cloud security, identity/RBAC, data governance, and monitoring.
Strong troubleshooting, documentation, and communication skills.
Legal authorization to work in the United States; visa sponsorship is not offered.

Nice To Haves

Microsoft Fabric production experience and related Microsoft certifications (DP-600, DP-700).
Experience with OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, and Delta Lake.
Experience with Infrastructure-as-Code technologies such as Terraform.
Experience supporting data platforms in financial services or another highly regulated environment.

Responsibilities

Design, deploy, and support Microsoft Fabric environments, workspaces, and solutions.
Build and maintain Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes.
Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark.
Integrate Fabric with Azure services, databases, APIs, SaaS applications, and on-premises data sources.
Implement security, RBAC, data governance, lineage, and compliance controls.
Establish Git, CI/CD, and automated deployment practices across development, test, and production environments.
Monitor platform health, capacity, performance, pipelines, and production workloads.
Troubleshoot incidents and perform root-cause analysis and performance optimization.
Develop technical standards, documentation, operational procedures, and runbooks.
Partner with Cloud, Infrastructure, Security, Data, Application Development, and business teams.