Customer Engineer, Data Analytics, Cloud

• Bachelor's degree or equivalent practical experience.
  
• 10 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 with Data Warehousing architectures (e.g., legacy appliances like Teradata/Netezza or modern cloud warehouses).
• Experience in SQL and data visualization tools (Looker, Tableau, Power BI).

• Experience scripting in Python, Java, or Go for data processing tasks.
  
• Experience presenting complex technical concepts to C-level executives and leading technical whiteboard sessions.
• Experience architecting and deploying data solutions on public cloud platforms (Google Cloud).
• Experience with Google Cloud BigQuery, Looker, and machine learning integration in data warehouses (e.g. BigQuery ML).
• Deep understanding of the data analytics market, including current trends in Business Intelligence and Big Data.
  
• Ability to explain complex data concepts to non-technical executive stakeholders, including familiarity with ETL/ELT pipelines and orchestration tools (e.g., Airflow/Cloud Composer, dbt).

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 Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.

You will be a part of a diverse team of fellow Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed.

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.

• Work with the team to identify and qualify business opportunities, understand key customer objections, and develop a strategy to resolve technical blockers in relation to aspects of the data lifecycle.
  
• 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.