Customer Engineer, Smart Analytics London, England
Job description
Minimum qualifications:
- Bachelor's degree in Computer Science, Software Engineering, other quantitative fields (e.g., Physics, Mathematics), or equivalent practical experience.
- Experience with Analytic Warehouse solutions, data movement from data stores into Analytic Warehouses, and performance or scalability optimizations.
- Experience in implementing analytics systems architecture and cloud computing.
- Experience with technologies, methodologies, and solutions in the technology space.
Preferred qualifications:
- Experience working in a specialist area of technology.
- Experience with developing data warehousing, data lakes, batch or real-time event processing, and ETL workflows solutions including 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.
- Understanding of DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN, VPC, and Linux.
- Ability to quickly learn, understand, or work with emerging technologies, methodologies, and solutions.
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 deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving 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.
With companies relying on Google Cloud, we regularly answer questions about technical features, helping customers design architectures, engage in proof of concepts, and troubleshooting potential roadblocks related to database migration and data back ends. As a Sales Engineer for Smart Analytics, you'll utilize both your technical aptitude and communication skills to address all aspects of the data lifecycle.
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.
Responsibilities
- Challenge and inspire customers and peers to solve difficult problems with solutions leveraging a sophisticated set of technical competences.
- Work with the team to identify and qualify business opportunities, identify customer technical objections, and develop a strategy to resolve technical blockers.
- Manage the technical relationship with Google’s customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
- Work with customers to demonstrate and prototype Google Cloud product integrations in customer or partner environments.
