Data Analytics Cloud Solutions Engineer

Google

Singapore

On-site

SGD 180,000 - 240,000

Full time

17 hours ago
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Job summary

Google is seeking a Practice Customer Engineer with a Data Analytics specialty in Singapore. You will partner with technical sales teams to differentiate Google Cloud, serve as a technical expert, and design data foundation architectures with MVPs to address advanced workloads.

You will engage with customers to understand business and technical requirements, present practical solutions, and help accelerate adoption of data analytics workloads, collaborating with Platform CEs and Go-To-Market

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 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 native architecture
Executive stakeholder engagement
Customer-facing / support experience

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Practice Customer Engineer with a Data Analytics specialty in Singapore. You will partner with technical sales teams to differentiate Google Cloud, serve as a technical expert, and design data foundation architectures with MVPs to address advanced workloads.

You will engage with customers to understand business and technical requirements, present practical solutions, and help accelerate adoption of data analytics workloads, collaborating with Platform CEs and Go-To-Market

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