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Senior Team Manager - Data Engineering

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Charles Schwab

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Location:
United States , Southlake

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

160000.00 - 175000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • 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
  • Bonus or incentive opportunities

Additional Information:

Job Posted:
February 17, 2026

Expiration:
February 28, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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