Customer Engineer, Data Analytics, Google Cloud

Google New York City, NY

Company

Google

Location

New York City, NY

Type

Full Time

Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience as a technical consultant, technical pre-sales engineer, enterprise architect, or in a customer-facing role.
  • Experience with traditional analytic warehouse solutions, Big Data technologies, real time streaming, performance, or scalability optimizations.

Preferred qualifications:

  • Master's degree in Computer Science or a related technical field.
  • Experience developing data warehousing, data lakes, batch or real-time event processing, and ETL workflows solutions.
  • Experience with data and information management as it relates to big data trends and issues within businesses.
  • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Google Cloud/IT technology space.
  • Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN, and VPC.

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 work cross-functionally to introduce Google Cloud to our customers. You will help prospective customers, existing customers, and partners understand the power of Google Cloud, develop creative Google Cloud solutions, and problem-solve any potential business challenges.

Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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 .

Responsibilities

  • 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 activities such 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 needed 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.

Date Posted

03/17/2024

Views

3

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