At Schwab, the business problem is to transform people's lives by changing the way the world invests, and the technical problem is to re-architect and rebuild the core enterprise data platform to support the rapidly growing and evolving business.
Requirements
- Expertise in ETL development, MS SQL Server database, TSQL/Stored Procedure, SSIS and SSRS
- Strong understanding of Data Warehouse concepts (star schema, slowly changing dimensions, fact/dimension modeling) and Operational Data Exchanges/Stores.
- Solid understanding of data lifecycle, metadata management, and governance standards.
- Experience with Futures & Forex Trading and data platforms
- Good understanding of latest Architecture and Development Standards and Guidelines
- Experience in Python coding skills
- Experience in dev tools such as GitHub, Bamboo, Liquibase
Responsibilities
- Provide strategic, technical and project leadership to data pipeline development.
- Lead a high-performing team of data engineers and leads supporting data pipelines, reporting, and exchange across key business domains.
- Drive end-to-end ownership of the analytics development lifecycle (ADLC), including intake, estimation, design, build, test, and support.
- Collaborate with cross-functional stakeholders (Product Owners, Data Architects, QA, and Infrastructure teams) to define priorities and resource allocation.
- Implement best practices in SDLC, Agile/Scrum methodologies, and DevOps automation in a data engineering context.
- Govern platform health, technical debt, and capacity planning while ensuring adherence to compliance, audit, and information security guidelines.
- Hands-on development and mentoring for all members of the team to ensure team and project success.
Other
- Master's or bachelor's degree in computer science, Information Technology or similar/equivalent area of study
- Minimum of 5 years working in the financial services industry.
- Minimum of 15 years of solid data engineering experience.
- Minimum of 7 years strategic project leadership experience in matrixed organization
- Strong communication and stakeholder management skills across technical and non-technical audiences.
