Senior Cloud Data Platform Engineer – On-Site

Charles Schwab Corporation; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Charles Schwab Corporation is seeking a Cloud Data Platform Engineer to advance Schwab's Google Cloud-based data ecosystem, powering analytics, reporting, and AI-driven capabilities. This on-site role in Austin emphasizes collaboration and operational excellence.

You will engineer, administer, and optimize large-scale cloud data platforms, working with cross-functional teams to improve reliability, performance, and cost efficiency, while implementing IaC, CI/CD, and data security best practices.

Qualifications

• 7+ years of experience with enterprise cloud data platforms.
• Experience with Google Cloud services including BigQuery, Cloud Composer, Cloud Run, Cloud Storage, Cloud Functions, and Dataflow.
• Knowledge of IAM, VPC Service Controls, and BigQuery security best practices.
• Experience managing full lifecycle of cloud services (provisioning, monitoring, scaling, decommissioning).
• Experience with Infrastructure-as-Code tools (Terraform or similar).
• Experience in CI/CD automation using GitHub Actions, Liquibase, or similar.
• Advanced Python scripting for automation.
• Strong SQL performance tuning in large-scale data environments.
• Experience building dashboards/reporting with Tableau or Power BI.
• Experience with incident management tools like Jira or Remedy.
• Proven ability to lead technical initiatives and collaborate across teams.

Skills

Cloud data platforms

Google Cloud

Python scripting

SQL tuning

Cross-functional collaboration

Leadership

Tools

Terraform

GitHub Actions

Liquibase

Tableau

Power BI

Jira

Job description

Charles Schwab Corporation is seeking a Cloud Data Platform Engineer to advance Schwab's Google Cloud-based data ecosystem, powering analytics, reporting, and AI-driven capabilities. This on-site role in Austin emphasizes collaboration and operational excellence.

You will engineer, administer, and optimize large-scale cloud data platforms, working with cross-functional teams to improve reliability, performance, and cost efficiency, while implementing IaC, CI/CD, and data security best practices.