Semiconductor Data Platform & DB Engineering Manager

In this role, you will manage the strategy, scoping, and technical outcomes for database solutions within the semiconductor manufacturing domain. Your role involves the lifecycle from initial requirement gathering and architectural design to development, testing, and maintenance of database solutions. You will manage and architect structures across database systems (eg, Oracle, SQL Server, MySQL, AlloyDB, and Vertica), leveraging SQL for querying and data analysis., * Manage a team of software and database engineers, and architect, design, develop, test, and maintain database applications.

• Develop solutions using database technologies for semiconductor manufacturing.
• Administer on-premise Oracle, SQL Server, MySQL, Vertica, and PostgreSQL databases, and Google Cloud Platform AlloyDB databases.
• Follow software development standards and implement best practices in documenting user requirements, design, coding, and testing of database solutions.
• Partner with cross-functional teams, leadership, engineers, program managers, and data scientists to understand business and application needs.

This position requires an on-site presence of at least five days per week at the Fremont facility.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience developing database solutions and performing database administration of on-premise Oracle, SQL Server, and MySQL databases.
• 5 years of experience developing analytical reports and dashboards.

Experience with SQL Server reporting services, Oracle database administration and management, database monitoring, database installation, Oracle GoldenGate, and creating and sharing dashboards and reports. Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience architecting and developing robust database solutions tailored for the semiconductor manufacturing domain.
• Experience leveraging AI/ML methods, specifically utilizing Gemini, to drive technical excellence and improve system productivity.
• Familiarity with critical semiconductor manufacturing processes, including Manufacturing Execution System (MES), Statistical Process Control (SPC), SAP, capacity modeling, demand forecasting, MRP planning, and logistics systems.

The U.S. base salary range for this Full time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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