Google Cloud is seeking a Customer Engineer specializing in Data Analytics to join their technical sales team. This role combines deep technical expertise in data analytics with customer-facing responsibilities, making it an ideal position for experienced professionals who can bridge the gap between complex technical solutions and business value.
The position involves working closely with sales teams as a data analytics subject matter expert to showcase Google Cloud's capabilities to customers. You'll be responsible for understanding customer requirements, designing technical architectures, and developing creative cloud solutions to address business challenges. The role requires expertise in cloud native architecture, Big Data technologies, and data lifecycle management.
As a Customer Engineer, you'll engage in various activities from conducting technical discovery and architecting solutions to delivering product demonstrations and proof-of-concepts. You'll need to effectively communicate with both technical stakeholders and executive leaders, translating complex technical concepts into business value propositions.
The role offers competitive compensation ($147,000-$218,000 + bonus + equity + benefits) and the opportunity to work with cutting-edge cloud technology at one of the world's leading tech companies. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in more than 200 countries.
This position is ideal for candidates who combine strong technical skills in data analytics and cloud computing with excellent communication and presentation abilities. You'll need to demonstrate experience with data warehousing, processing, governance, and migration, as well as a deep understanding of cloud computing infrastructure and market dynamics.
Working at Google Cloud means joining a team that values diversity, equality, and inclusion, with a commitment to building a representative workforce. The role offers the chance to impact how organizations worldwide leverage cloud technology for their data analytics needs, while working in an environment that promotes equal opportunities and professional growth.