Data Analytics Cloud Engineer: Customer-Focused, Hands-On

Google LLC

Singapore

On-site

SGD 180,000 - 260,000

Full time

10 days ago

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Job summary

Google Cloud is seeking a Share Customer Engineer with a Data Analytics specialty based in Singapore. The role partners with technical sales teams to differentiate Google Cloud to customers, designing data foundation architectures, and developing MVPs for specialized workloads.

The candidate will engage with stakeholders at all levels, accelerate technical wins, and influence product direction while communicating complex concepts clearly.

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.

Responsibilities

  • 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.

Skills

Cloud architecture
Stakeholder engagement
Executive presentation
Technical sales/consulting

Education

Bachelor's degree or equivalent

Job description

Google Cloud is seeking a Share Customer Engineer with a Data Analytics specialty based in Singapore. The role partners with technical sales teams to differentiate Google Cloud to customers, designing data foundation architectures, and developing MVPs for specialized workloads.

The candidate will engage with stakeholders at all levels, accelerate technical wins, and influence product direction while communicating complex concepts clearly.

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