G

Google

Runs Search and YouTube and builds Gemini AI

Data Customer Solutions Engineer - Google Cloud

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Experience coding with one or more programming languages, such as Java, C/C++, or Python.
  • Experience developing and troubleshooting applications with database management systems such as MySQL, PostgreSQL, Oracle, and MongoDB.
  • Experience with Structured Query Language (SQL).

Responsibilities

  • Translate complex business and technical requirements into recommendations for scalable, cost-effective database solutions and advisory services.
  • Lead high-velocity data migration and modernization to Google Cloud Platform using Google or third-party tools and services.
  • Develop and implement data quality and governance procedures to ensure data accuracy and reliability.
  • Troubleshoot customer or partner teams' complex storage systems for potential performance challenges.
  • Organize project requirements into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
  • Design, develop, deploy, and manage highly scalable and reliable databases on Google Cloud Platform to meet organizational storage demands.
  • Work on data migration and modernization projects incorporating best practices in data governance and security controls.
  • Travel to customer sites to deploy solutions and deliver workshops that educate customer teams on best practices in database design and operations.
  • Work with Product Management and Product Engineering teams to improve products that address customer challenges.

Desired Qualifications

  • A bachelor's degree and 5 years of technical troubleshooting experience.
  • Proficiency in data modeling, distributed systems, SQL, NoSQL, and Google Cloud databases such as Spanner, Bigtable, and AlloyDB.
  • Expertise designing and executing large-scale data migrations from on-premises systems to the cloud.
  • Strong programming skills in Python and Java, script automation, and DevOps implementation using CI/CD and infrastructure-as-code tools.
  • Deep understanding of data protection, encryption techniques such as KMS and HSMs, and regulatory compliance including GDPR, CCPA, and HIPAA.
  • Fluency in English and Portuguese or Spanish for Latin American stakeholders.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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