Senior Java Developer

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).

At Schwab, Client Data Technologies is the custodian of client information. We provide incredible experiences to customers through building innovative and reliable solutions.

As part of the Segmentation team, you will partner with our business stakeholders and development teams to design and develop segmentation solutions for various stakeholders to use for analytics and reporting. As a Tech Lead, you will provide technical guidance to a team that will design, develop, and implement enterprise data integration solutions. You will have opportunities to grow in responsibility, work on exciting and challenging projects, train on new technologies, and lead other developers to set the future of the Data Warehouse.

Qualified candidates will have deep experience in data technology, a passion for data solutions, and a robust curiosity for emerging cloud development patterns. Additionally, strong leadership skills, the ability to influence without authority, and expertise to make and propose needed changes to bring more impact are essential.

Successful Tech Leads at Charles Schwab foster an accountable culture and thirst for technology innovation. They communicate well with teams and leaders of the organization, have active listening skills, and ask questions. They build strong and highly functional partnerships with the Data and Rep Technology (DaRT) leadership team and delivery teams. Our ideal candidate will have experience leading multiple parallel initiatives – big and small – with a keen attention to detail, the ability to manage outcomes, and managing resources across disparate locations, including offshore.

They will also demonstrate the following:

• Specialized expertise in function and working knowledge of related functions and sub-functions

• Applies understanding of the industry and how work contributes to the achievement of objectives

• Analytical:
  Guides others as a functional subject matter expert and uses deep analytical experience to propose best path forward

• Demonstrates an ability to build consensus in the role of team leader and/or team member

• Based on extensive work and/or industry experience, provides guidance on process and procedure best practices that result in functional and cross-functional efficiency

• Participates in code review and guides junior team members to provide better code quality

• Understands full workflow, works with up and downstream partners to ensure end to end quality results. Documents adequately for future reference, and mentors junior team members

• Implements and enhances the testing automation framework. Able to follow and evolve testing architectural patterns, standards, and best practices.

Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as Git Hub Copilot or Claude Code is expected.

• Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.

• Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).

• Demonstrates practical familiarity with Git Hub Copilot and/or Claude Code within IDE/CLI-style workflows.

• Working knowledge of agentic workflows
  , spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom…