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 willprovidetechnical 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 onnew technologies, and lead other developers tosetthe 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, andexpertiseto make and propose needed changes to bring more impact are essential.

Successful Tech Leads at Charles Schwabfosteran 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 alsodemonstratethe following:

Knowledge: 

• Specializedexpertisein 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 ensureend to endquality 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:

Demonstratedexposure to, or hands-on experience with, GenAI coding assistantsused 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 asGitHub CopilotorClaude Codeis expected.

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

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

• Demonstrates practical familiarity with GitHub Copilotand/or Claude Codewithin IDE/CLI-style workflows.

• Working knowledge ofagentic 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), andcustom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisteddevelopment.Proventrack 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 Data flow 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 ina continuousintegration, and continuous delivery model (CI/CD), technologies like GitHub and harness.io.

• 2+ years’ experience implementing automated unit tests, acceptancetestand integration following industry best practices.

• 4+ years’ experience working with databases likePostgresSQL, 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 craftinga designbasedinengineering principles.

• Track recordof pursuing andmaintaininghigh 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,argueyour case with data, and commit to deliver regardless of the outcome of the disagreement.

• Ability to analyze and solve problems creatively.

• Track recordof 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 beforeuse.

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 fromon-premisesto cloud platforms.

• Experience implementing batchapplicationusing Spring framework usingcontrol-m scheduler.

• Experience inFinancialServices industry.

• Experience in Test Driven Development.

• Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated testprocess.

• 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 Agilemethodologyand 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.

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