Cloud Data Platform Engineer

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

 

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

 

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. 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 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. This is an exciting opportunity to work in a dynamic, data-driven environment, contributing to the ongoing development and optimization of our cloud infrastructure.

Key Responsibilities:

•          Cloud Service Enablement & Enhancements: Collaborate with architects and junior engineers to enable and enhance cloud data services infrastructure, ensuring they meet business requirements and align with best practices.•          Infrastructure as Code (IaC): Utilize IaC practices to provision and manage cloud infrastructure resources, including networking, IAM policies, and platform-specific resources, ensuring efficient and scalable cloud operations.•          Resource Provisioning: Handle the provisioning of cloud resources, such as virtual machines, storage, and databases, in accordance with project needs and operational standards.•          Platform Support: Support the maintenance and operation of the cloud-hosted data & analytics platforms, assisting in the development of new data analytics platforms by managing assigned tasks and stories.•          Service Upgrades & Patching: 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.•          Disaster Recovery: Participate in disaster recovery exercises, ensuring that cloud services are resilient, recoverable, and compliant with organizational policies.•          Tenant Support: Address tenant tickets, troubleshoot issues, and provide support for cloud service-related incidents to ensure minimal disruption and quick resolution.•          Collaboration & Documentation: 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.

What you have

Required Qualifications:

 

•         Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

•         6+ 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.