Cloud Data Platform Engineer – BigQuery & Hybrid

Charles Schwab; Southlake (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Paid time off

Parental leave

Tuition reimbursement

Health insurance

Job summary

Charles Schwab is seeking a Cloud Data Platform Engineer to advance Schwab's Google Cloud-based data ecosystem. The role focuses on building and optimizing large-scale cloud data platforms, supporting analytics, regulatory reporting, and AI-driven capabilities across the firm.

You will collaborate with platform engineering, security, governance, and business teams to improve reliability, scalability, and cost efficiency while solving complex technical challenges.

Qualifications

• 7+ years in enterprise-scale cloud data platforms.
• Hands-on Google Cloud experience: BigQuery, Dataflow, Cloud Run/Storage/Functions.
• IAM, VPC Service Controls, dataset and column-level security best practices.
• IaC tooling like Terraform; CI/CD with GitHub Actions or Liquibase.
• Advanced Python scripting for automation of workflows.
• SQL performance tuning in large data environments; dashboards with Tableau/Power BI.
• Experience with incident management and cross-functional collaboration.

Responsibilities

• Engineer and optimize large-scale cloud data platforms with petabytes of data.
• Collaborate across platform engineering, security, governance, and business teams.
• Improve reliability, scalability, automation, performance, and cost efficiency.
• Lead technical initiatives and mentor engineers while driving best practices.

Skills

7+ years experience

Cloud data platforms

Stakeholder collaboration

Tools

BigQuery

Cloud Composer

Cloud Run

Cloud Storage

Cloud Functions

Dataflow

Terraform

GitHub Actions

Liquibase

Python

SQL

Tableau

Power BI

Jira

Remedy

Job description

Charles Schwab is seeking a Cloud Data Platform Engineer to advance Schwab's Google Cloud-based data ecosystem. The role focuses on building and optimizing large-scale cloud data platforms, supporting analytics, regulatory reporting, and AI-driven capabilities across the firm.

You will collaborate with platform engineering, security, governance, and business teams to improve reliability, scalability, and cost efficiency while solving complex technical challenges.