Senior Team Manager - Data Engineering
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).
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.
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
What you are good at
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.
Why Schwab?
At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.
Hear from employees: What’s it like to work at Schwab!
The benefits of working at Schwab : a package designed to empower your health, wealth, career and life. Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.
As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)
Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace. We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.