Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Cloud Data Platform Administrator
Austin, TX; Southlake, TX
Live, first seen by us 53 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingEngineer, administer, and optimize large-scale cloud data platforms
Improve platform reliability, scalability, automation, performance, and cost
Manage the full lifecycle of cloud services, from provisioning to decommissioning
From the employer’s posting
help engineer, administer, and optimize large-scale cloud data platforms
improve reliability, scalability, automation, performance, and cost efficiency
Experience managing the full lifecycle of cloud services, including provisioning, monitoring, scaling, optimization, and decommissioning
What you’ll bring
All qualificationsCore 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 12, 202653 days ago
- Recorded sightings
- 226
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 53
Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
Charles Schwab is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Power BI
- Redshift
- Snowflake
- Tableau
- Terraform
- GCP
Where the posting names them
- 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.
Your next step
Complete your application on www.schwabjobs.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job 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 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
Source details
Source notes
Source excerptsSelected 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.