Cloud Platform Engineer

Charles Schwab Inc.•Austin, TX

1d•$40 - $61

About The Position

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning. Schwab is transforming its enterprise data and analytics capabilities through its secure, scalable, self-service Google Cloud–based ecosystem. The Schwab Google Data & Analytics (SGDA) platform supports enterprise reporting, AI/ML use cases, regulatory workloads, and next-generation data products across multiple lines of business. We are seeking a specialist Cloud Data Platform Engineer to join our growing data analytics ecosystem focused platform engineering team. This role is ideal for a professional with progressive experience in cloud platform engineering who is ready to take on more responsibility and operate with minimal supervision. You will be integral to enabling and enhancing our cloud services, provisioning resources, and supporting a data analytics environment on Google Cloud including the enterprise Cloud Data Warehouse (CDW) and other data tenant platforms. This is an exciting opportunity to work in a dynamic, data-driven environment, contributing to the ongoing development and optimization of our cloud infrastructure.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
3+ years of experience as a cloud data platform engineer in a data analytics ecosystem, with demonstrated progression in responsibilities and technical skills.
Hands-on experience with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, BigQuery, Cloud Run, Cloud Functions, PubSub, Cloud Scheduler, Composer, IAM, VPC Networking, and Cloud SQL.
Proficient in Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager, with a solid understanding of cloud resource automation.
Basic understanding of cloud security practices, including IAM policy management and vulnerability patching.
Knowledge of cloud networking concepts, including VPCs, subnets, firewalls, and interconnects, to ensure secure and efficient cloud operations.
Analytical and troubleshooting skills to identify and resolve cloud service issues effectively.
Ability to work collaboratively within a team environment, supporting cross-functional initiatives and contributing to shared goals.
Strong documentation skills and the ability to communicate technical concepts clearly and effectively to both technical and non-technical stakeholders

Nice To Haves

Familiarity with cloud-based data warehouse solutions, and an understanding of data pipelines and analytics environments.
Experience in GCP platform technologies is highly preferred.

Responsibilities

Collaborate with senior engineers to enable and enhance cloud data services infrastructure, ensuring they meet business requirements and align with best practices.
Utilize IaC practices to provision and manage cloud infrastructure resources, including networking, IAM policies, and platform-specific resources, ensuring efficient and scalable cloud operations.
Handle the provisioning of cloud resources, such as virtual machines, storage, and databases, in accordance with project needs and operational standards.
Support the maintenance and operation of the Cloud Data Warehouse (CDW) platform, assisting in the development of new data analytics platforms by managing assigned tasks and stories.
Assist in the management of cloud platform upgrades for Schwab managed services, apply patches for vulnerabilities, and support the rollout of new features and services across the cloud environment.
Participate in disaster recovery exercises, ensuring that cloud services are resilient, recoverable, and compliant with organizational policies.
Address tenant tickets, troubleshoot issues, and provide support for cloud service-related incidents to ensure minimal disruption and quick resolution.
Work closely with cross-functional teams, including data engineers, developers, and other Cloud technology teams, to ensure seamless cloud operations.
Maintain clear and detailed documentation of configurations, procedures, and best practices.