Customer Engineer, Data Analytics, Google Cloud

**Minimum qualifications**: - Bachelor's degree or equivalent practical experience. - 6 years of experience with cloud native architecture in a customer-facing or support role. - Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. - Experience engaging with, and presenting to, technical stakeholders and executive leaders. **Preferred qualifications**: - Experience in technical sales or consulting in cloud computing, data analytics, or Big Data. - 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. - Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems. - Experience in understanding customer requirements with the ability to break down requirements and design technical architectures. - Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior. **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. **Responsibilities**: - Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data life-cycle. - Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. - Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements. - Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. - Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.