Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience as a technical consultant, technical pre-sales engineer, enterprise architect, or in a customer-facing role.
- Experience delivering technical presentations.
- MBA or Master's degree in Computer Science or a related technical field.
- Experience developing data warehousing, data lakes, batch or real-time event processing, and ETL workflows solutions.
- Experience with data and information management as it relates to big data trends and issues within businesses.
- Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
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About the job
As a Data Analytics Customer Engineer, you will work cross-functionally to introduce Google Cloud to our customers. You will help prospective customers, existing customers, and partners understand the power of Google Cloud, develop creative cloud solutions, assist architectures to solve their business challenges, and problem-solve any potential technical roadblocks.
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
- Identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
- Manage the technical relationship with Google's clients, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
- Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environment(s), provide recommendations on a prioritization roadmap for application modernization, and identify applications for migration to hybrid-cloud computing models.
- 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.