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Employment: Unconfirmed

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What you’ll bring

All qualifications

Core experience

7+ years of experience supporting, engineering, or administering enterprise-scale cloud data platforms such as Google BigQuery, Amazon Redshift, or Snowflake.
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.

Preferred experience

Experience supporting enterprise data warehouse platforms operating at large scale.
Experience improving platform resiliency, disaster recovery readiness, and operational governance.
Experience evaluating emerging cloud technologies and leading proof-of-concept initiatives.
Demonstrated ability to mentor engineers and provide technical leadership.

Qualification wording

7+ years of experience supporting, engineering, or administering enterprise-scale cloud data platforms such as Google BigQuery, Amazon Redshift, or Snowflake.

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.

Experience supporting enterprise data warehouse platforms operating at large scale.

Experience improving platform resiliency, disaster recovery readiness, and operational governance.

Experience evaluating emerging cloud technologies and leading proof-of-concept initiatives.

Demonstrated ability to mentor engineers and provide technical leadership.

Tools in this posting

Python
SQL
BigQuery
Redshift
Tableau
Terraform
Google Cloud (GCP)
Snowflake
Power BI

Source

- 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.

- 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.

Required Qualifications - 7+ years of experience supporting, engineering, or administering enterprise-scale cloud data platforms such as Google BigQuery, Amazon Redshift, or Snowflake. - Hands-on experience with Google Cloud services including BigQuery, Cloud Composer, Cloud Run, Cloud Storage, Cloud Functions, and Dataflow.

- 7+ years of experience supporting, engineering, or administering enterprise-scale cloud data platforms such as Google BigQuery, Amazon Redshift, or Snowflake. - 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.

- 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.

- 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.

- 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.

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.

Posting record

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Status in our records: Live
First seen by us: Sep 12, 2026 · 34d ago
Recorded sightings: 125
Last seen by us: Oct 15, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

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 such as Google BigQuery, Amazon Redshift, or Snowflake.
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.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. 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

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on www.schwabjobs.com. The employer’s form will show what is required.

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Source details

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Austin, TX; Southlake, TX
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.
More source context
What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. 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:
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at www.schwabjobs.com ↗Read the full description ↓

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Cloud Data Platform Administrator