Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience in creating and managing managed databases on Google Cloud Platform (GCP) like Cloud SQL, AlloyDB, Cloud Spanner, and Cloud Bigtable.
- 5 years of experience in developing ETL software solutions using C, C , software frameworks, and Python.
- 5 years of experience developing automation using Terraform.
- 5 years of experience in developing analytical reports and dashboards.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience architecting and developing robust database solutions tailored for the component suppliers and subassembly houses.
- 3 years of experience leveraging AI/ML methods, specifically utilizing Gemini, to drive technical excellence and improve system productivity.
- 3 years of experience using Docker containers.
- 3 years of experience with semiconductor software systems.
About the jobIn this role, you will own the strategy, scoping, and technical outcomes of database solutions in GCP. Be involved in the end-to-end lifecycle - from initial requirement gathering and architectural design to development, testing, and long-term maintenance of database solutions for hardware products. Lead, manage and architect streamlined structures across various database systems on Google's GCP environment.
Navigate challenges, make open-ended problems tractable while influencing designs and technical excellence. Integrating AI/ML methods to solve problems and improve productivity, such as utilizing AI for live data analytics and employing Terraform to automate critical infrastructure.
Familiarity with component suppliers, subassembly houses and OEM/ODMs to build data pipelines back to Google and then restructuring and organizing the data and making it readily available is highly advantageous for driving meaningful impact.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Collaborate with manufacturing partners and Engineering teams in structuring the data content and data pipelines.
- Architecting, designing, developing, testing and maintaining database software applications on GCP.
- Architect and Create managed Databases on GCP. Design and Develop software applications for ETL pipeline.
- Follow the software development standards and implement best practices in documenting user requirements, design, coding and testing of database solution.
- Partner with cross-functional teams, leadership, engineers, program managers, and data scientists to understand business and application needs.
