Jobs / Cha***
Senior Team Manager, Data Engineering - Cloud Platform
Cha*** · Austin, TX, United States
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Austin, TX, United States160,000-190,000 USD/yearlyHybrid
Remuneration
160,000-190,000 USD/yearly
Location
Austin, TX, United States
Visa sponsorship
Sponsors visa
Job summary
Austin, TX Requisition ID 2026-123171 Category Engineering & Software Development Position type Regular Pay range USD $160,000.00 - $190,000.00 / Year Application deadline 2026-07-04 YOUR OPPORTUNITY At Schwab, you’re empowered to make an impact on your career.
Benefits
Package that takes care of the whole you – both today and in the future:401(k) with company match and Employee stock purchase planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 yearsPaid parental leave and family buildingTuition reimbursementHealth, dental, and vision insuranceSHARE:FacebookLinkedInXEmailELIGIBLE SCHWABBIES RECEIVE
Qualifications
- Identify and manage project dependencies and downstream impacts across applications and platforms
- Evaluate new
- Bachelor’s degree in Engineering, Technology, or a related field
- 12+ years of experience designing, developing, and supporting ETL and database solutions
- 7+ years of experience leading small to mid-sized technology projects
- 3+ years of people leadership experience supporting highly technical teams
- 3+ years of hands-on experience with Informatica Intelligent Data Management Cloud (IDMC)
- 3+ years of experience with Control-M
- 3+ years of experience working with Google Cloud Platform
- Experience working in the financial services industry
- Proficiency with Python, Perl, or other scripting languages
- Familiarity with source control and DevOps
Responsibilities
- In this role, you’ll lead a highly skilled data engineering team responsible for designing and delivering cloud-based data platforms that power critical business insights across the firm.
- Lead and develop a team of data engineers, providing clear direction, mentorship, and career development support
- Partner with business stakeholders to understand strategic and financial objectives and translate them into scalable data solutions
- Plan, estimate, prioritize, and coordinate technical activities across data engineering initiatives
- Define and enforce standards, guidelines, and best practices for data design, development, testing, and deployment
- Oversee ETL design, development, data management, and analytics delivery to ensure solutions meet functional and non-functional
Skills
CommunicationLeadership
Degrees
AssociateDegree
Industry
BankingEnergyInsuranceLogistics
Company size
EnterpriseMidsizeSmb
Contract length
5 years