Strategic Cloud Engineer, Data Analytics @ Google

About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform (GCP). You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot platform/product tests. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.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.

Responsibilities

• Interact with stakeholders to translate customer requirements into recommendations for solution architectures and advisory services.
• Engage with technical leads, and partners to lead migration and modernization to Google Cloud Platform (GCP).
• Design, migrate/build, and operationalize data storage and processing infrastructure using Cloud native products.
• Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
• Take project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.