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 Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to perform designing of data foundation architectures and develop MVPs (Minimum Viable Products) to promote new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development.

You will leverage excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.

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.

Responsibilities

• Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case identification, technical evaluation, and through customer ramp.

• Combine business strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 10 years of experience in software engineering, software infrastructure engineering, security, big data and analytics, cloud computing, or cloud networking.

• Experience with infrastructure, storage, platforms and data, as well as the cloud market and customer buying behavior.

• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Experience in technical sales or consulting in cloud computing, data analytics, and big data.

• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.

• 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.