Customer Engineer, Data Analytics, Google Cloud
Summary
Customer Engineer specializing in Data Analytics on Google Cloud, designing architectures and MVPs to help customers adopt complex analytics workloads and accelerate technical wins.
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
- 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 in understanding customer requirements with the ability to break down requirements and design technical architectures.
- Experience with aspects of cloud computing (e.g., infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
- Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
- Drive the technical win for complex workloads within Data Analytics to ensure rapid and successful adoption, primarily supporting the sales cycle from use case identification, technical evaluation, and through customer ramp.
- Combine sales strategies and hands-on development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
- Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
- Provide critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions. Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.