Pay range: USD $135,000.00 - $150,000.00 / Year
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.
Schwab is transforming enterprise data analytics with a cutting-edge Google-Cloud powered ecosystem designed to deliver governed, scalable, and self-service analytics at massive scale. As part of this expansion, the Schwab Google Data & Analytics (SGDA) ecosystem is evolving to support seamless, secure, and cost-efficient distributed data analytics across the firm. At the heart of this transformation are Schwab's Central Landing Zone (CLZ) and Schwab Analytics Tenant Platform (SATP), two foundational Cloud platforms enabling firmwide data ingestion, processing, and both enterprise and business-driven analytics on Google Cloud.
Want more jobs like this?
Get jobs in Austin, TX delivered to your inbox every week.
As a Cloud Platform Engineer in Schwab Data organization, you will play a key role in designing, optimizing, and securing these platforms while ensuring they are scalable, high-performing, and cost-efficient. This is an exciting multidisciplinary Cloud engineering position requiring specialization in Google BigQuery, and deep expertise in platform engineering, automation, and Infrastructure-as-Code (IaC) to manage enterprise-scale data workloads with operational excellence. You will collaborate with Cloud engineers, architects, security, and technology teams to build and maintain a high-performance cloud data infrastructure that empowers business teams to unlock sights at scale.
This is an opportunity to be at the forefront of Schwab's Next-Gen Data & Analytics journey on Cloud, shaping hoe data is managed, secured, and leveraged across the firm. If you are passionate about building resilient, high-performance cloud data platforms and driving innovation in a highly regulated environment, this role offers the chance to make a meaningful impact.
Responsibilities & Job Duties
- Cloud Data Platform Administration & Engineering
- Administer & optimize BigQuery for enterprise-scale workloads, ensuring cost-efficiency, performance, and security
- Dedicated SME oversight for Platform Governance, Access Management, Performance Management, Workload Management. Resiliency, and Vulnerability Management
- Engineer cloud infrastructure for CLZ & SATP using Terraform and automation frameworks
- Manage Google Cloud services including but not limited to BigQuery, Cloud Storage, Cloud Composer, Cloud Run, and IAM to enable scalable data workflows
- Automation and Performance Optimization
- Automate platform operations with Python, Terraform, and CI/CD pipelines
- Optimize query performance & governance using partitioning, clustering and slot-based pricing models
- Facilitate implementation of self-service data capabilities tooling to streamline data access and analytics workflows
- Platform Governance, Security & Reliability
- Enforce data access management and platform management policies across CLZ & SATP
- Ensure platform resiliency via backup, disaster recovery, and high-availability strategies
- Monitor and troubleshoot platform issues using Schwab-aligned Google tooling
- Collaboration & Continuous Improvement
- Partner with engineering teams to implement best practices for cloud-based platform data management
- Support platform Site Reliability Engineering (SRE) and production operations by resolving incidents and optimizing infrastructure health
- Lead/collaborate proofs-of-concept, product evaluations by engaging with Google Product Owners/Support Engineers
- Supervision & Mentorship
- Provide guidance and technical oversight to junior engineers and vendor staff, ensuring high-quality execution and fostering professional growth within the team.
What you have
Required qualifications:
- Bachelor's degree in computer science, engineering, or a related field.
- 8+ years of engineering experience in Database Administration or Platform Engineering
- 4+ years in Google BigQuery (or Snowflake or QWS Redshift) administration including query tuning, performance optimization, cost governance, security controls (IAM, Row-Level Security, Column Encryption)
- Strong expertise in Infrastructure-as-Code (Terraform) & automation
- Experience with workflow orchestration (Cloud Run, Cloud Composer, Apache Airflow)
- Proficiency in Python & Bash for scripting and automation
- Hands-on experience with CI/CD pipelines (Github, Bitbucket, Bamboo, Jenkins)
- Deep understanding of cloud data security, compliance and access management best practices
- Cloud Service lifecycle management experience including platform upgrades, vulnerability management, and disaster recovery exercise execution
Preferred qualifications:
- Work experience in highly regulated financial technology-driven companies
What's in it for you
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance