Senior Manager, Cloud Data Platform Engineering

1 week ago

Southlake, Texas, United States The Charles Schwab Corporation Full time
About the Role

We are seeking a seasoned Senior Manager of Cloud Data Platform Engineering to lead our ambitious Cloud Data Platform initiatives within the Data and Rep Technology (DaRT) organization at The Charles Schwab Corporation.

Key Responsibilities
  • Cloud Data Platform Engineering & Strategy: Spearhead the development and implementation of new Cloud platform services, ensuring seamless integration and alignment with existing systems.
  • Service Enablement: Develop strategies for service provisioning that optimize both performance and security.
  • Resource Provisioning: Oversee the allocation and management of platform resources for customer and tenant needs.
  • Platform Expansion and Upgrades: Plan and execute the expansion of platform capabilities to support growing business needs.
  • Operational Excellence: Develop and maintain a robust monitoring framework that tracks performance metrics and logs critical events.
  • Security and Compliance: Direct the implementation of comprehensive security protocols and compliance measures across all platform services.
  • Disaster Recovery and Business Continuity: Establish and test disaster recovery plans that ensure rapid restoration of services in the event of outages or other disruptive incidents.
Requirements
  • Bachelor's degree in computer science, engineering, or a related field.
  • A minimum of 5 years in technology leadership, including managing complex, multi-platform cloud environments in a large-scale environment.
  • A technical background of at least 5 years' experience, including proficiency with major cloud platforms such as AWS, Azure, and Google Cloud.
  • Infrastructure as Code (IaC): Skilled in using Terraform and other IaC tools to manage infrastructure deployments efficiently.
Preferred Qualifications
  • Experience with services like BigQuery, Dataproc, Composer, Dataflow, Pub Sub, Cloud Functions, Cloud Build, Cloud Run, Cloud Scheduler.
  • Ai & ML Platforms: Experience with traditional AI/ML platforms like Dataiku or AWS Sagemaker and Generative AI services/LLMs like Google Vertex Search, Microsoft Open AI.
  • Security and Compliance: Strong understanding of security protocols, Identity & Access Management (IAM), and compliance frameworks relevant to the financial services industry.

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