Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineering Team Manager
Reads like a Data Leadership role: running a data team.
- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead multiple engineering teams across enterprise apps, web platforms and data engineering
Drive cloud adoption and modernization of core data and application platforms
Translate complex business needs into sustainable engineering solutions
Improve data quality and governance and ensure reliable delivery of critical platforms
Mentor leaders and develop talent within the organization
From the employer’s posting
guiding multiple engineering teams to deliver scalable, secure, and high-performing systems
driving modernization efforts, advancing cloud adoption, and improving engineering efficiency through automation and best practices
translate complex business needs into sustainable engineering solutions
improve data quality and governance, and ensure reliable delivery of critical platforms
mentoring leaders, developing talent, and promoting a culture of accountability, innovation, and continuous improvement
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field
- 10+ years of experience in data engineering, data integration, analytics engineering, or related technology disciplines
- 5+ years of experience leading engineering teams and managing complex enterprise programs
- Demonstrated experience leading enterprise application development and engineering organizations
- Experience managing complex portfolios across application development, platform engineering, and operational support
- Strong knowledge of cloud platforms, modern software engineering practices, and DevOps (including CI/CD and API development)
Preferred experience
- Experience with AI/ML enablement platforms, model lifecycle management, or enterprise AI frameworks
- Experience with tools such as Vertex AI, Dataiku, or MLOps capabilities
- Experience enabling AI-assisted analytics or conversational data solutions
- Experience in financial services or other highly regulated industries
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field
10+ years of experience in data engineering, data integration, analytics engineering, or related technology disciplines
5+ years of experience leading engineering teams and managing complex enterprise programs
Demonstrated experience leading enterprise application development and engineering organizations
Experience managing complex portfolios across application development, platform engineering, and operational support
Strong knowledge of cloud platforms, modern software engineering practices, and DevOps (including CI/CD and API development)
Experience with AI/ML enablement platforms, model lifecycle management, or enterprise AI frameworks
Experience with tools such as Vertex AI, Dataiku, or MLOps capabilities
Experience enabling AI-assisted analytics or conversational data solutions
Experience in financial services or other highly regulated industries
Posting record
Report an errorOpen 4 monthsWe first saw this posting 135 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 23, 2026135 days ago
- Recorded sightings
- 269
- Last seen by us
- Nov 5, 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 135
Up longer than most. Similar jobs usually come down between day 7 and day 54.
Well past Charles Schwab’s usual: its jobs come down by about day 34.
From 8,063 similar postings that came down, and 98 of Charles Schwab’s. 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 Leadership hiring is steady
- 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.
- Java
- Python
- BigQuery
- GCP
Where the posting names them
- Strong knowledge of cloud platforms, modern software engineering practices, and DevOps (including CI/CD and API development) - Hands-on experience with technologies such as Informatica, IDMC, BigQuery, Java, Python, GCP, or similar platforms - Proven experience driving modernization, transformation, and large-scale change initiatives
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 Charles Schwab
- People
- About 33,000 in 2025, up 3% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as SCHW.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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, reliable technology solutions that democratize access to investing and financial planning. As Schwab continues to scale its next generation of data, analytics, and AI capabilities, the Analytical Data Platform Engineering team plays a critical role in accelerating enterprise insights, enabling trusted data, and supporting AI-driven decision-making across the organization.
As a Data Engineering and Web Applications Team Manager, you will lead a diverse portfolio spanning enterprise applications, web platforms, and data engineering solutions. You will shape and execute technology strategy while guiding multiple engineering teams to deliver scalable, secure, and high-performing systems that directly support business growth and client outcomes. This role requires balancing long-term strategic vision with operational execution—driving modernization efforts, advancing cloud adoption, and improving engineering efficiency through automation and best practices.
You will partner closely with business leaders, product teams, architecture, data, security, and infrastructure functions to align technology investments with enterprise priorities. Success in this role comes from your ability to translate complex business needs into sustainable engineering solutions, improve data quality and governance, and ensure reliable delivery of critical platforms. You will also foster a high-performing, collaborative environment by mentoring leaders, developing talent, and promoting a culture of accountability, innovation, and continuous improvement. This role offers the opportunity to influence enterprise-wide transformation initiatives, including cloud migration, AI enablement, and modernization of core data and application platforms.
What you have
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field
- 10+ years of experience in data engineering, data integration, analytics engineering, or related technology disciplines
- 5+ years of experience leading engineering teams and managing complex enterprise programs
- Demonstrated experience leading enterprise application development and engineering organizations
- Experience managing complex portfolios across application development, platform engineering, and operational support
- Strong knowledge of cloud platforms, modern software engineering practices, and DevOps (including CI/CD and API development)
- Hands-on experience with technologies such as Informatica, IDMC, BigQuery, Java, Python, GCP, or similar platforms
- Proven experience driving modernization, transformation, and large-scale change initiatives
- Strong stakeholder management, communication, and executive-level presentation skills
- Experience managing budgets, vendors, and strategic partnerships
Preferred Qualifications:
- Experience with AI/ML enablement platforms, model lifecycle management, or enterprise AI frameworks
- Experience with tools such as Vertex AI, Dataiku, or MLOps capabilities
- Experience enabling AI-assisted analytics or conversational data solutions
- Experience in financial services or other highly regulated industries
- Experience leading enterprise cloud transformation initiatives
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
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, reliable technology solutions that democratize access to investing and financial planning. As Schwab continues to scale its next generation of data, analytics, and AI capabilities, the Analytical Data Platform Engineering team plays a critical role in accelerating enterprise insights, enabling trusted data, and supporting AI-driven decision-making across the organization.
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.