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Customer Data Analytics Engineer

2 months ago

Sunnyvale, California, United States Google Full time
About the Role

We are seeking a highly skilled Customer Engineer to join our team at Google Cloud. As a Customer Engineer, you will be responsible for working with customers to understand their business and technical requirements, and providing solutions to meet those needs.

As a data analytics subject matter expert, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle.

Responsibilities
  • Work with the team to identify and qualify business opportunities related to Google Cloud, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
  • Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
  • Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
Requirements

We are looking for a highly skilled and experienced professional with a strong background in data analytics and cloud computing. The ideal candidate will have a Bachelor's degree or equivalent practical experience, and at least 10 years of experience with cloud native architecture in a customer-facing or support role.

The candidate should have experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

The candidate should also have experience engaging with, and presenting to, technical stakeholders and executive leaders, and experience in technical sales or consulting in cloud computing, data analytics, or Big Data.

We offer a competitive salary range of $142,000-$214,000 + bonus + equity + benefits, and a dynamic and supportive work environment.