#2026-118720
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: