Customer Engineer, Data Analytics, Google Cloud,...

• Support local sales teams in pursuit of key business opportunities, and engage customers to address aspects of the data lifecycle.

• Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.

• Take responsibility for managing technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.

• Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments, and travel as required for meetings, technical reviews, and onsite delivery activities.

• Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers, and Request for Information (RFI) response documents.

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., + Bachelor’s degree or equivalent practical experience.

• 10 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role (including working as a member of a professional services or systems engineering team).

• Experience working with and presenting to technical stakeholders and executive leaders.

Preferred qualifications:

• Experience in technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.

• Experience with developing data warehousing, data lakes, batch or real-time event processing, and ETL workflows solutions (Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.

• Experience in writing code in development languages such as Java, Python, JavaScript, C++, Scala, R, or Go.

• Experience addressing DNS, TCP, firewalls, proxy servers, load balancing, VPN, and VPC, and with Linux.

About the job

When leading companies choose Google Cloud, it’s a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our startup customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve business issues, 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. You will use your expertise and presentation skills to engage with customers to understand business and technical requirements, and present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.