Lead Full Stack Engineer, Data Applications

Job description

Hyderabad, Telangana **Requisition ID** 2026-124130 **Category** Engineering & Software Development **Position type** Regular ## **Your opportunity** **Schwab Description** At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape. **Schwab India Description** Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region. **Role Description** The Sr. Manager (IC), Data Tools will play a pivotal leadership role in shaping the next generation of data innovation at Schwab. This position leads the design, development, and delivery of cutting-edge data automation tools and full-stack applications within Schwab Data India, driving scalable, high-impact solutions across the Schwab Data organization. The Schwab Data Tools team is at the forefront of innovation, building and managing modern data solutions such as data lineage platforms, automated data quality testing frameworks, and AI-assisted data engineering tools. These solutions empower hundreds of ETL developers by streamlining workflows, improving data reliability, and accelerating time-to-market. This team thrives on creative problem-solving, continuous innovation, and developing efficient, scalable solutions that significantly enhance productivity and engineering experience. By leveraging AI-assisted capabilities, the team is redefining how data engineering is performed, bringing intelligent automation, deeper insights, and measurable efficiency gains across Schwab’s data ecosystem. This is an exciting opportunity for leaders who are passionate about building world-class data solutions, enabling teams at scale, and making a tangible impact through technology, automation, and AI-driven transformation. Joining this team means being part of a culture that values: - Innovation and forward-thinking solutions - Driving efficiencies and operational excellence - Strong engineering craftsmanship and modern full-stack development - Collaboration and continuous learning - High job satisfaction through meaningful, high-impact work ## **What you have** **Key Responsibilities** **Technical Leadership & Delivery** - Lead the design, development, and delivery of full-stack web applications using Python and Angular / React. - Drive architecture decisions and technical solution design for data automation tools. - Leverage AI and Generative AI technologies to accelerate application development, automate repetitive tasks, and drive operational efficiency across the Data Tools portfolio. - Design, present, and align technical solutions to Schwab Data architects and senior technical leadership. - Ensure solutions are scalable, secure, and maintainable with clear technical documentation. - Establish coding standards, best practices, and engineering excellence across the Data Tools team. - Own end-to-end delivery of assigned projects, ensuring quality, timeliness, and alignment with Schwab Data standards. **Stakeholder Engagement & Collaboration** - Collaborate with stakeholders to gather requirements and translate business needs into technical solutions. - Create and deliver presentations and demos to senior leadership, project sponsors, and technical peers. - Support project planning, estimation, and delivery timelines. - Collaborate with cross-functional teams including product owners, QA, and DevOps. - Partner with U.S.-based Data Tools team to ensure alignment, knowledge transfer, and consistent delivery quality. **Operational Excellence** - Implement scalable, compliant, and AI-assisted delivery frameworks tailored for a regulated financial services environment, driving faster time-to-market and improved engineering efficiency. - Drive intelligent automation, retrospectives, and service reviews using AI-enabled insights to deliver measurable quality improvements and operational efficiencies. - Ensure adherence to Schwab’s privacy, security, and regulatory standards while embedding automation and controls to proactively manage risk and compliance. - Optimize team capacity and delivery performance through agile methodologies, data-driven decision-making, and planning to maximize productivity and throughput. **Required Qualifications** **Technical Expertise and Educational Requirements** - Minimum 12 years of hands-on experience in software development with a focus on building tools and applications. - Strong expertise in Python and Angular/React in application development. - Proven experience designing technical solutions and presenting them to architects for review and approval. - Proven experience leveraging AI-assisted development practices to enhance developer productivity, automate workflows, and deliver scalable, high-quality solutions efficiently. - 8+ years of experience with relational databases and writing complex SQL queries for data extraction, tr