Sales Engineer, Smart Analytics, Google Cloud
Minimum qualifications: + Bachelor's degree in Computer Science or related technical field or equivalent practical experience. + Experience in data and information management as it relates to Big Data or relational-databases. + Experience with one or more of the following: MapReduce, Hadoop, Spark, Flume, Hive, Impala, SparkSQL, BigQuery. Preferred qualifications: + Master's degree in Computer Science or other technical field with experience with Big Data, PaaS, and IaaS technologies. + Experience in software development platforms and solutions in J2EE, Java servlets, Python, Go, or Ajax. + Experience as a data engineer, database architect, or database administrator. + Experience as a technology consultant, technical architect, enterprise architect, technical sales engineer, or solutions architect. + Experience in web application development and integration. + Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/data engineering technology space. 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 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. The Google Cloud Platform team helps customers transform and evolve their business through the use of Google's global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with Sales teams as a data analytics solutions subject matter expert to differentiate and paint the vision of Google Cloud to our customers. You'll help prospective customers and partners understand the power of Google Cloud, explaining technical features, helping customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks related to analytics workloads and projects. You will architect the best solutions for the customer using Google Cloud's unique technology. As a Sales Engineer, you'll contribute experience in data analytics strategies and data engineering. You'll use your skills with big data processing and traditional data warehouse knowledge and bring a functional understanding of cloud and data center network topologies, enterprise security, cloud identity, and troubleshooting techniques. Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what's next for their business - all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers and developers see the benefits of our technology come to life. + Accelerate the adoption of Google Cloud solutions. Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers. + Manage responsibility for Go-to-Market strategy from a technical perspective. Craft the strategy to transform the customers, identify customer technical objections and develop a strategy to resolve technical blockers. + Share in-depth data analytics and data engineering knowledge to support the technical relationship with Google's customers, including product and solution briefings, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Cloud. + Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud. + Travel to customer sites, conferences, and other related events as required. 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 this form.