Senior Data Engineer

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. Wealth and Asset Management (WAM) Engineering is an organization within Schwab Technology Services aligned to support the technology needs of Schwab Asset Management (SAM), Wealth & Advice Solutions (WAS), the Schwab Center for Financial Research (SCFR), and Third-Party Platform teams. Wealth Management Engineering (WME), an organization within WAM Engineering, is dedicated to providing support to WAS which is a growth area for Schwab. This newly created role will support the future growth of the WAS business. As a seasoned, hands‑on Senior Data Engineer, you will enable WME to achieve consistent, predictable, high‑quality delivery by implementing best practices, tools, metrics, automation frameworks, and provide oversight in the areas of software development and testing. You’ll serve as a strong and versatile hands‑on technical engineer. You will deliver high‑quality solutions that meet business objectives in a flexible, collaborative, and rapidly changing environment. You will play a critical role in supporting key stakeholders across the WAS organization which is focused on high‑net worth and ultra‑high net worth retail investors. Supported business functions span Schwab’s Wealth and Investment Solutions including Schwab Wealth Advisory. You will be working with a team of talented and highly motivated technologists that strive to make technology a strategic differentiator for Schwab’s WAS business and their clients. What you have Define and maintain conceptual, logical, and physical database models by working with business stakeholders and identifying optimal database specifications. Ensures that database design and system capabilities meet validated user requirements. Work with application development teamsdesigning,developing,and enhancing database schemas, creating database views, helping with query optimization, and figuring out ways to increase application performance. Enhance and recommend solutions / processes for downstream impact analysis associated with data and/or model changes. Support, maintain and enhance applications (when necessary) written with ETL tools such as Informatica, Airflow, Snowflake and additionally support teams using custom ingestion and transformation processes. Collaborate with enterprise stakeholders to implement and adhere to data storage standards and maintain catalogs to facilitate consistent data management practices. Establish data quality metrics and monitoring processes to proactively identify and resolve data quality issues. Work with various IT departments within Schwab to perform preventive and corrective maintenance and incident management measures. Ensure database integrity, availability, and restorability by working with enterprise operational excellence teams. Evaluates the integration of new tools or technologies based on the capabilities of the existing infrastructure. Recommend solutions and help with functional and performance testing needs (mock data, test environments, data refresh processes). Responsible for coordination of planning the installation of operating systems, databases, applications, development upgrades, and new releases. Follow and develop database standards, guidelines, and best practices. Establishes standards, controls, and procedures to ensure data integrity and security. Perform capacity planning and projection for future growth. And finally, be able to work in an Agile Scrumenvironment. Bachelor of Science in Computer Science or a related field The ideal candidate should have at least 7+ years of data engineering experience, 5+ years development experience and 3 years or more experience withPostgresdatabase management. The candidate must additionally have experience with Oracle, SQL Server, MySQL, and/or Mongo DB. Must have worked as alongside a business vertical to establish nomenclature, data catalogs, provenance, standards, semantics and usage of data. Deep knowledge and experience with query development and optimization (SQL, PL/SQL, and No SQL) Experience in performance‑tuning database applications is a MUST. Experience in multi‑datacenter DB installations, disaster recovery, and replication techniques. Advanced knowledge of database backup and recovery strategies Ability to work in a Unix environment including an ability to write scripts in Unix. Provide database technical support for Technology and Application Delivery projects. Must have excellent written and verbal communications skills. Ability to multitask and work well under pressure. In‑depth knowledge of troubleshooting skills and out‑of‑the‑box thinking to overcome data obstacles. Preferred qualifications: Familiarity with Agile Methodologies, such as Scrum. You are driven by innovation and a commitment to lifelong learning. Experience or familiarity with Atlassian suite of products (Jira, Confluence, HipChat, Bamboo, Bitbucket) Exposure to various flavors of databasesPostgress, Oracle, Mongo, SQL Server, MySQL. Exposure to data visualizations tools such as Tableau Exposure to ETL tools such as Informatica Intelligent Cloud Solutions Excellent judgment, organizational and problem‑solving skills #J-18808-Ljbffr