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FEDERAL RESERVE OF SAN FRANCISCO Sr Cloud Engineer in SALT LAKE CITY, Utah

CompanyFederal Reserve Bank of San Francisco

We are the Federal Reserve Bank of San Francisco-public servants with a mission to advance the nation's monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. That means we seek and appreciate new perspectives. We respect people for what they do and for who they are. We build opportunities to learn and grow. When you join the SF Fed, you become part of a diverse team united in its purpose to promote an economy that works for everyone.

The Federal Reserve Bank of San Francisco is looking for a Sr. Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data solutions and advanced analytics products. The successful candidate will design, implement, and manage cloud-based data and AI solutions, ensuring scalable, secure, and repeatable data pipelines. The ideal candidate will have a strong background in data engineering, cloud infrastructure, scripting languages, and excellent analytical and communication skills. Essential Responsibilities: * Builds next-generation AI and analytics framework developed on a group of core technologies. * Lead multi-functional teams in designing and implementing cloud-based data and AI solutions. * Ensure data pipelines are scalable, secure, and repeatable. * Collaborate with stakeholders to understand business requirements and turn data into insights. * Develop and maintain cloud infrastructure, including data lakes, warehouses, and analytics platforms. * Implement data governance and security best practices. * Acts as a role model, thought leader, and change management for new software and technology throughout the company. * Works on multiple projects as a technical team member driving business requirements end to end * Takes end to end accountability of all data products and solutions. * Leads training bootcamps, and cross training workshops for internal and stakeholders. * Participates in pilots, Proof of Concepts and research on future data technologies and industry trends.

Qualifications: * Bachelor's degree in computer science, Information Systems, or other related technical field or equivalent work * Must be a U.S. Citizen or a Green Card holder with the intent to become a U.S. Citizen * Typically requires 7 or more years of experience in data engineering, data science, and software engineering. * Advanced knowledge of Amazon Web Services (AWS) and cloud infrastructure * Strong programming skills in Java or Python, or Scala * Design, build, and maintain machine learning data pipelines. * Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q) * Experience in Ansible/Terraform/Cloud Formation scripts and Infrastructure as Code scripting is required. * Experience in Continuous Integration, Continuous Delivery, and Continuous Deployment software tools to support, enhance and grow our CI and CD capabilities. * Experience in Databricks, Alteryx, Collibra etc.,

Desired Skills: * Background in data security, governance and cybersecurity solutions. * Domain experience in HR, Information Security,... For full info follow application link.

The Federal Reserve Bank of San Francisco is an Equal Opportunity Employer. Our people reflect the diversity and the ideas of the community we serve.

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