- Location
- Austin, TX, US · Southlake, TX, US
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Experience
- 7+ years
- Closing date
- 2 days ago
- Source
- iCIMS
Description
Your Opportunity
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 Technology Services enables the future of how clients manage their money by delivering innovative and reliable technology solutions that support investing, financial planning, and enterprise-scale decision making. As a Cloud Data Platform Engineer, you will play a critical role in advancing Schwab's Google Cloud-based data ecosystem, supporting platforms that power enterprise analytics, regulatory reporting, operational intelligence, and AI-driven capabilities across the firm.
In this role, you will help engineer, administer, and optimize large-scale cloud data platforms that support petabytes of data and thousands of users. You'll collaborate with platform engineering, security, architecture, governance, and business teams to improve reliability, scalability, automation, performance, and cost efficiency. Success in this role requires strong cloud platform expertise, a commitment to operational excellence, and the ability to solve complex technical challenges while driving secure, resilient, and innovative data solutions that enable business outcomes across Schwab.
What you have
Required Qualifications
- 7+ years of experience supporting, engineering, or administering enterprise-scale cloud data platforms.
- Hands-on experience with Google Cloud services including BigQuery, Cloud Composer, Cloud Run, Cloud Storage, Cloud Functions, and Dataflow.
- Strong knowledge of IAM, VPC Service Controls, and BigQuery security best practices, including dataset-level access controls, column-level security, and data masking.
- Experience managing the full lifecycle of cloud services, including provisioning, monitoring, scaling, optimization, and decommissioning.
- Experience with Terraform or comparable Infrastructure-as-Code (IaC) tools.
- Experience implementing and supporting CI/CD automation using GitHub Actions, Liquibase, or similar technologies.
- Advanced Python scripting experience used to automate operational workflows and platform administration.
- Strong proficiency with SQL performance tuning and query optimization in large-scale data environments.
- Experience building operational dashboards and reporting solutions using Tableau, Power BI, or comparable reporting tools.
- Experience with incident management and ticketing platforms such as Jira, Remedy, or equivalent solutions.
- Proven ability to lead technical initiatives, influence stakeholders, and collaborate effectively across cross-functional teams.
Preferred Qualifications
- Experience supporting enterprise data warehouse platforms operating at large scale.
- Experience improving platform resiliency, disaster recovery readiness, and operational governance.
- Strong analytical and strategic problem-solving capabilities.
- Experience evaluating emerging cloud technologies and leading proof-of-concept initiatives.
- Demonstrated ability to mentor engineers and provide technical leadership.
- Strong written and verbal communication skills with the ability to influence diverse stakeholders.
- Experience driving operational excellence, automation, and continuous improvement initiatives.
- Financial services or highly regulated industry experience is a plus.
In addition to the salary range, this role is eligible for bonus or incentive opportunities.