Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and 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.

What you have

Required Qualifications:

• 12+ years of experience in data engineering, including 5+ years in people leadership roles with accountability for hiring and onboarding, performance management, talent development, compensation planning, and building high-performing engineering teams
• Architected enterprise ETL/ELT frameworks leveraging distributed processing, orchestration, and metadata‑driven patterns to enable scalable and reusable data pipelines.
• Executed complex platform-to-platform data migrations, addressing data modeling differences, performance tuning, backward compatibility, and parallel run strategies.
• Transitioned monolithic and tightly‑coupled legacy data systems to modern, decoupled, and resilient architectures aligned with cloud and data‑platform best practices.
• Hands‑on expertise with data integration tools such as Informatica IICS, PowerCenter, or Spring Batch
• Strong experience working with relational (Oracle, SQL Server, PostgreSQL, or MySQL) and NoSQL databases (Mongo)
• Advanced SQL skills and experience with enterprise data modeling
• Working knowledge in at least one modern programming language such as Python or Java
• Experience building and supporting streaming or event‑driven data pipelines (e.g., messaging platforms, Kafka, Pub/Sub)
• Working knowledge of data governance, data quality, and data lifecycle management practices
• Experience enabling analytics and visualization platforms such as Tableau or Power BI through well‑designed data models and pipelines
• Bachelor’s degree in Computer Science, Mathematics, or a related field, or equivalent practical experience

Preferred Qualifications:

• Experience supporting Salesforce platforms from a data ingestion or extraction perspective
• Background in financial services or highly regulated environments
• Experience designing or operating data platforms in a public cloud environment, such as Google Cloud Platform (GCP)
• Experience leading or enabling AI‑assisted development practices, including code generation, automated testing, pipeline validation, or design acceleration