Customer Engineer, Data Analytics, Google Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Reston, VA, USA; Chicago, IL, USA; Dallas, TX, USA; New York, NY, USA.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience.
- 7 years of experience working in the healthcare industry in a data engineering role.
- Experience with HIPAA, GDPR, and other legal regulations around healthcare data.
Preferred qualifications:
- Extensive technical sales experience or professional consulting experience in the fields of cloud computing, data, information lifecycle management, and Big Data.
- Experience in writing code in a common development languages such as 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.
- Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
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 Sales Engineer for Data Analytics, you'll utilize both your technical and communication skills to address all aspects of the data lifecycle. You will also have to travel as required for meetings, technical reviews, and onsite delivery activities.
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.
Additional Information:
The US base salary range for this full-time position is $118,000-$177,000 + 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 for new hire 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 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.
- 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.
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