Federal Reserve Bank - San Francisco, CA
posted 5 months ago
The Federal Reserve Bank of San Francisco is seeking a Sr Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. This role is pivotal in delivering a centralized data and analytics platform that provides advanced data migration and analytics solutions for our customers. The successful candidate will work collaboratively with Data Architects, Product Owners, Design Engineers, Developers, and Business Analysts in a dynamic environment. The primary focus will be on identifying solutions, building, and implementing Infrastructure as Code using our CI/CD pipeline. This position offers an opportunity to showcase critical thinking and technical skills across various disciplines, playing a key role in shaping the development and support of product roadmaps while advancing our cloud data analytics platforms. In this role, you will be responsible for understanding the technology vision and strategic direction of business needs. You will participate in defining technical requirements that outline solutions for enabling data analytics within an AWS cloud environment built on data mesh architecture. Your responsibilities will include designing integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for data platform products. You will also engage in developing architecture and design conceptual solutions by incorporating cloud-native and third-party vendor products. Additionally, you will provide analysis of the current state and future state, partnering with the Product Manager to define key outcomes for an IT data platform strategy. You will conduct research and perform proofs of concept (POCs) with emerging technologies, adopting industry best practices in the data space to advance the cloud data platform using data mesh architecture. Your role will involve designing, developing, and implementing Low-Code ETL solutions, developing RESTful APIs and API Gateway integration, and automating processes through Infrastructure as Code to enhance build efficiency in the cloud using Terraform, Python, and OS shell scripts. You will also be responsible for developing data streaming, migration, and replication solutions, providing consulting and guidance on business solution development in the data and analytics space, and demonstrating leadership and collaboration skills to gain consensus and produce optimal solutions.