[Remote/WFM] Enterprise Customer Engineer, Data Analytics

Remote Full-time
Position at a Glance:Compensation: a competitive salaryPosition: Enterprise Customer Engineer, Data Analytics, TechnologyStart Date: Immediate openings availableCompany: WorkwarpLocation: Remote  The application window will be open until at least Oct. 1, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following...

In-office locations: Reston, VA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Miami, FL, USA.

Remote location(s): United States.Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• 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.

Preferred qualifications:
• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
• Understanding of customer requirements, with the ability to break down requirements and design technical architectures.

About The Job

As a North America Technical Team Data Analytics Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert 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. You'll engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will be a part of a diverse team of fellow Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed.

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.

The US base salary range for this full-time position is $159,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities
• Work with teams across North America to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers in relation to aspects of the data life-cycle.
• Share data analytics expertise to support the technical relationship with customers including advocacy, supporting bid responses, product and solution briefings, POC work, and partnering with product management to prioritize solutions impacting adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
• Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboards, presentations, product demonstrations, whitepapers, and RFI responses.
• Interlock with Product Management and influence the product roadmap through thought leadership, providing customer feedback, and triaging blockers to workload migrations.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form Apply Job! Simple Application ProcessReady to join us? The first step is easy. Click apply now and we'll be in touch soon!
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