Data Customer Solutions Engineer, Google Cloud

As a Strategic Cloud Data Engineer, you will work with customers and partner teams to design,develop,deploy and manage highly scalable and reliable databases on the Google Cloud Platform meeting the Organization’s storage demands. You will work on data migrations and modernization projects incorporating best practices of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customer teams to adhere to best practices in Database design and operations. Additionally, you will work closely with Product Management and Product Engineering teams to build and constantly drive excellence in our products that solve the biggest customer challenges.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Interact with stakeholders to translate complex business and technical requirements into recommendations for scalable and cost-effective database solutions and advisory services.
  
• Engage with technical leads and partners to lead high velocity data migration and modernisation to Google Cloud Platform (GCP) using Google or third-party tools and services.
  
• Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
  
• Work with customer or partner teams to troubleshoot their complex storage systems for potential performance challenges.
  
• Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
  

Minimum qualifications:

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

Preferred qualifications:

• Bachelor's degree with 5 years of technical troubleshooting.
• Proficiency in data modeling, distributed systems, and SQL, NoSQL, and Google Cloud databases (Spanner, BigTable, AlloyDB).
• Expertise in designing and executing large-scale data migrations from on-premise systems to the cloud.
• Strong programming skills (Python, Java), script automation, and DevOps implementation using CI/CD and IaC tools.
• Deep understanding of data protection, encryption techniques (KMS, HSMs), and regulatory compliance (GDPR, CCPA, HIPAA).
• Ability to communicate in English and Portuguese/Spanish fluently for LATAM stakeholders.