Tech lead - Java/AI Tech Lead/Sr 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: Knowledge: 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 Skills: 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 Business Acumen: 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. What you have Required Qualifications: 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 GitHub 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 GitHub 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 instructions and prompt engineering, with the ability to establish team‑level practices for effective AI‑assisted development. Proven track record with 2–3+ years of hands‑on experience in data modeling. 3+ years of experience in building ETL (Extract, Transform, Load) data pipelines both on‑premises and in the cloud. GoldenGate, Debezium, Airflow. 2+ years of experience working on Google Dataflow for batch, Google Composer for batch orchestration on Google Cloud Platform. 7+ years of experience in actively developing large scale software using: Java or Python and Spring/Spring Boot framework. 3+ years of experience working with containers and microservices in the cloud. 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD), technologies like GitHub and harness.io. 2+ years’ experience implementing automated unit tests, acceptance test, and integration following industry best practices. 4+ years’ experience working with databases like PostgresSQL, Aerospike, Google Spanner. 2+ years’ experience building messaging applications using messaging technologies (Rabbit MQ, Kafka, or equivalent). Strong written, verbal, and interpersonal skills with the demonstrable ability to communicate effectively at all levels. Demonstrated ability in solution discovery and crafting a design based in engineering principles. Track record of pursuing and maintaining high quality while delivering on tight schedules. Collaborative mindset coupled with a bias for action to effectively engage with all areas of the business including Product Management, Architects, SRE, and adjacent teams, etc. Ability to work collaboratively with internal and external stakeholders including offshore teams and manage offshore development activities. Ability to effectively engage subject matter experts and understand technical topics. Demonstrated ability to disagree, argue your case with data, and commit to deliver regardless of the outcome of the disagreement. Ability to analyze and solve problems creatively. Track record of mentoring and coaching in a stronger organization. Experience leading and managing both onsite and offshore teams, ensuring successful project delivery. AI‑Assisted Engineering Skills Practical experience using AI coding assistants such as GitHub Copilot, ChatGPT, Claude, or enterprise‑approved AI tools. Ability to use AI tools to accelerate coding, refactoring, documentation, SQL generation, and test creation. Strong judgment in reviewing, validating, and correcting AI‑generated output before use. Preferred Qualifications: 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP. 2+ years prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB. Demonstrated experience in migrating ETL processes from on‑premises to cloud platforms. Experience implementing batch application using Spring framework using control‑m scheduler. Experience in Financial Services industry. Experience in Test Driven Development. Proficient in developing Visio diagrams, architectural and design documentation, functional and technical specifications, automated test processes. Willingness to learn all aspects of tech stack and document. Ability to research and document production and test environments along with architecture and design work. Knowledge of Agile methodology and experience in an Agile working environment. Experience with the Atlassian tool stack (JIRA and Confluence). In addition to the salary range, this role is also eligible for bonus or incentive opportunities. Applicants must be currently authorized to work in the United States on a full‑time basis without employer sponsorship. #J-18808-Ljbffr Charles Schwab Corporation