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Schwab
Southlake, Texas, United States
(on-site)
Posted
1 day ago
Schwab
Southlake, Texas, United States
(on-site)
Job Type
Full-Time
Senior Team Manager - Data Engineering
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Senior Team Manager - Data Engineering
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Your OpportunityAt 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).
As a Senior Manager of Data Engineering, you'll shape the technical direction of our enterprise data ecosystem while leading a high-performing engineering team. This role sits within our Operational Data Exchange (ODX) organization - a critical engine behind the insights, intelligence, and scalable platforms that support major business areas across Schwab, including Schwab Technology Services (STS), Treasury, Audit, Corporate Tax, Risk, and Compliance.
You'll guide teams through complex modernization initiatives, streamline and stabilize core systems, and architect future-state platforms that enable client-centricity, speed, and scale. If you thrive in fast-paced environments, embrace ambiguity, and enjoy building strong teams and engineering foundations, this role is an opportunity to own your tomorrow in a meaningful, high-impact leadership position.
What You'll Do
As a Senior Manager and engineering lead, you'll drive both strategy and execution:
- Provide strategic, technical, and project leadership to software and data pipeline development
- Lead hands-on engineering while mentoring team members at all levels
- Navigate cross-functional communication to align product, development, QA, operations, and business teams
- Drive Agile delivery, prioritization, and story decomposition to meet organizational goals
- Identify technology risks, dependencies, and mitigation plans
- Ensure delivery of high-quality releases on time and within budget
- Oversee production support artifacts, deployment processes, and smooth handoffs to support teams
- Collaborate with shared functions to improve automation, application support, and deployment workflows
- Cultivate open feedback, accountability, and continuous improvement across the engineering team
What you have
What You Have
You'll bring deep technical expertise, proven engineering leadership, and a passion for building scalable, modern platforms.
Required Qualifications
- Expertise in ETL development, Data Architecture, Data Modeling, Data Quality, best practices, and exception handling
- Proficiency with SQL and Google Cloud technologies including BigQuery, Cloud Storage, Dataflow, Composer, and Pub/Sub
- Expertise in Informatica / IDMC.
- Strong business analysis experience to translate requirements into accurate data mapping
- 12-15 years of data engineering experience
- 7+ years of strategic project leadership in a matrixed organization
- Extensive experience building and maturing teams at multiple levels
- Strong understanding of Data Warehouse concepts (star schema, slowly changing dimensions, fact/dim modeling) and Operational Data Exchanges/Stores
- Solid understanding of data lifecycle, metadata management, and governance standards
- Ability to disagree, debate with data, and commit to execution
- Excellent verbal and written communication for technical and non-technical audiences
- Bachelor's or Master's degree in Computer Science, IT, or related field
Preferred Qualifications
- Experience with corporate systems such as Workday, Remedy Helix, Jira, Rally
- Expertise in Java, Spring Boot, and Python
- Experience supporting Treasury data needs (e.g., forecasting net interest revenue, liquidity/cash management, financial statements)
- Experience implementing event-driven architectures (e.g., Confluent Kafka)
- Experience with data visualization/reporting tools
- Proficiency with developer tools such as GitHub, Bamboo, Liquibase
- Experience with cloud-based technologies (GCP preferred, AWS, Azure)
- Ability to implement cost-effective, scalable solutions in fast-paced, distributed environments
- 5+ years in financial services
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Requisition #: 2026-118720
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Requirements
2026-118720
Job ID: 83031111

Schwab
United States
Schwab is a leader in financial services, helping millions of people make the most of their money. Most Schwab careers are based in one of our two main operating segments, Investor Services or Institutional Services. But across the entire Schwab organization, more than 12,000 employees share a passion for fulfilling our corporate purpose: to help everyone be financially fit.
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