Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you will come in to facilitate making their work more productive, mobile, and collaborative. You will assist fellow sales Googlers by problem-solving key technical issues for our customers. You will liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. With companies relying on Google Cloud,... more details
Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you will come in to facilitate making their work more productive, mobile, and collaborative. You will assist fellow sales Googlers by problem-solving key technical issues for our customers. You will liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
With companies relying on Google Cloud, we regularly answer questions about technical features, helping customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks related to database migration and data back ends.
As a Cloud Customer Engineer, you'll utilize both your technical and communication skills to address all aspects of the data lifecycle. You will be 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 $142,000-$214,000 + 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.
- Support local sales teams in pursuit of key business opportunities, 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 leading 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 directly with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. 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 RFI response documents.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with cloud native architecture in a customer-facing or support role.
- 8 years of experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalablity optimizations, or batch versus streaming).
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
- Technical sales experience or professional consulting experience 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 (i.e,. 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 a common development languages (e.g., Java, Python, JavaScript, C++, Scala, R, or Go).
- Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN, and VPC, and working knowledge of Linux.
