​​Manager, Data Engineering

Your opportunity At Charles Schwab, our purpose is simple: we champion every client’s goal with passion and integrity. We believe in building futures through innovation, education, and an unwavering commitment to service. Our people are at the heart of our success - empowered to grow, take bold ideas forward and make a lasting difference for clients and our communities. As we expand into India, we’re carrying forward that same spirit of trust, opportunity and belonging that defines the Schwab experience. Joining us means being part of a Fortune 500 company where your ideas can shape the future of investing while you shape your own career. Schwab’s offices in Hyderabad are a strategic growth engine for the firm - helping us deliver innovation, scale and efficiency across our business. Here, technology and talent come together to build solutions that support millions of clients every day. It’s more than operations - it’s a place to create, test, and deliver modern solutions in a fast-paced agile environment. This is a unique opportunity to help build something from the ground up while backed by the strength and stability of a Fortune 500 company. If you’re energized by entrepreneurship and excited about shaping culture, talent, and technology in a brand-new environment, this is where you’ll make your mark. What you have Overview of the Role Would you like to be part of a new team chartered to build the next generation data & analytics platform supporting Customer Analytics? Our Customer Analytics Technology team is responsible for Charles Schwab’s client data platform that drives differentiated experiences for customers, accounts, households, and advisors through various channels (Schwab.com, Schwab Mobile, call centers, branches, etc.) We are looking for a Senior Data Engineer to develop and enable the strategic use of customer focused, analytical data assets on Google Cloud.  Our ideal candidate is enthusiastic about learning new and existing technologies to deliver outstanding data solutions. You need to have proven critical thinking skills and a laser focus on pragmatic problem solving. We require strong ethics, analytical thinking, and the ability to partner with, and influence business stakeholders and technologists across the organization. You should have backgrounds in both software engineering and data engineering, along with a strong passion for data integration technology. Key Responsibilities Basic understanding of customer analytics, how analytical data assets are designed to support maximum business value, and delivering optimal solutions based on business context Designing and developing frameworks and data pipelines aligned with the organization’s vision Delivering work on time with high quality Understand and contribute to the team’s data quality and metadata management strategies Write concise, easy to follow technical documentation Reviewing, prioritizing, and planning the team’s work, helping identify dependencies, breaking down complex user stories, and considering sequencing Coaching the team, fostering a culture of engineering excellence, and challenging the status quo Continually identify opportunities for continuous improvement and advocate for prioritization Cultivate a culture of open feedback and promoting accountability across the team Facilitate team discussions ensuring that everyone has an opportunity to be heard and that discussion outcomes achieve stated goals Supporting the team on critical production issues Building relationships with adjacent domains and teams Driving moderately complex development projects spanning multiple teams Required Experience 5+ years of experience using modern methodologies to design, build, and support near real-time data pipelines and analytical solutions using GCP, AWS, or Informatica 5+ years of experience using Java or Python to deliver data for near real-time, streaming analytics using GCP Managed Airflow (Composer) & Dataflow or Apache Airflow & Beam 5+ years