Cloud Data Architect

19 hours ago


San Francisco, California, United States Federal Reserve Bank of San Francisco Full time

The Federal Reserve Bank of San Francisco seeks a Cloud Data Architect to join the Data and Analytics Services (DAS) Team.

We empower the Federal Reserve business functions with top-grade data-driven insights, enabling them to leverage data as a strategic asset by employing modern cloud data and analytical solutions including AI/ML & GenAI.

This is an exciting opportunity to be part of a team on the leading edge of data management and consumption to drive solution architecture for multiple data and AI products.

This requires collaborating with multiple cross-functional teams in a complex environment adopting Scaled Agile Framework (SAFe), applying product thinking to accelerate business value.

We offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.

  • Responsibilities:
  • Design secure and reliable data/AI solutions for multiple business domains on AWS Cloud
  • Ensure required architecture runway, aligning to business product roadmaps, partnering with other architects and system stakeholders
  • Lead technical discussions, provide architectural guidance, and influence technology decisions
  • Drive Proof of Concept (PoC) works, which may involve hands-on development, while keeping up with relevant new technologies
  • Ensure data quality, security, and compliance; support information security risk assessments
  • Support multiple product teams through infrastructure build, solution delivery and operations, leading troubleshoot of technical issues, as needed
  • Lead architecture/design/code reviews, define and monitor best practices and provide guidance
  • Mentor staff transitioning to Cloud data engineering and drive internal knowledge sharing
Qualifications:
  • Bachelor's degree in computer science or related field and 10+ years of experience in data engineering, data science, and software engineering
  • Thorough knowledge and experience across data engineering, data modeling, data governance
  • Experience developing and driving solution architecture for large scale business solutions on AWS with an understanding of the AWS Well-Architected Framework
  • General understanding of the cyber security threat landscape and controls as it applies to the application and data space to design solutions in a highly regulated GovCloud environment
  • Thorough understanding of the AWS security architecture to enable design of solutions and integrations with least privileges across services, resources and data
  • Thorough understanding of the architecture patterns related to Single SignOn (SSO), Federated and Multi-Factor Authentications across various services/clouds using Okta and other providers
  • Ability to design CI/CD pipelines with clear understanding of DevSecOps, Threat modeling concepts and be able to provide resolutions to vulnerabilities reported by the security scans
  • Solid hands-on software engineering skills with object-oriented and functional programming languages (esp. Python, Scala, Java) along with SQL and no-SQL database experience as well as Infrastructure as a Code (IAC, preferable Terraform)
  • Ability to design solutions that can perform real-time, large-scale data processing in a distributed environment using Apache Spark using PySpark or other
  • Understanding of AI/ML platforms and data requirements to facilitate development and deployment of AI/ML models
  • High level understanding of the network concepts including VPCs, subnets, security groups, routing tables, ACLs etc
  • Should be conversant with most these AWS services: S3, Glue, IAM, CloudTrail, CloudWatch, Secrets Manager, KMS, EC2, Athena, RedShift, Aurora, DynamoDB, QuickSight
  • Must be a U.S. Citizen or a Green Card holder with the intent to become a U.S. Citizen


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