Data Analytics Cloud Solutions Engineer

Google LLC; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Google LLC in Singapore is seeking a Practice Customer Engineer specialized in Data Analytics to partner with technical sales and accelerate adoption of complex analytics workloads on Google Cloud. You will design data foundation architectures and MVPs to demonstrate viable, scalable solutions to customers and executives.

The role requires deep hands-on experience with cloud native architectures, strong stakeholder engagement, and the ability to translate business requirements into technical

Qualifications

• Minimum: Bachelor's degree or equivalent practical experience.
• Minimum: 10 years of experience with cloud native architecture in a customer-facing or support role.
• Minimum: Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Responsibilities

• Drive the technical win for complex Data Analytics workloads to support the sales cycle from use case identification to technical evaluation and customer ramp.
• Provide hands-on development and prototyping to deliver customer-tailored solutions that secure buy-in from customer domain experts.
• Offer deep technical consultation as a trusted advisor and build lasting customer relationships.
• Share learnings to create reusable solutions with the Go-To-Market team.
• Provide feedback to Product and Engineering to improve architectures and document feature requests.

Skills

Bachelor's degree

10 years experience

Stakeholder engagement

Education

Bachelor's degree or equivalent

Job description

Google LLC in Singapore is seeking a Practice Customer Engineer specialized in Data Analytics to partner with technical sales and accelerate adoption of complex analytics workloads on Google Cloud. You will design data foundation architectures and MVPs to demonstrate viable, scalable solutions to customers and executives.

The role requires deep hands-on experience with cloud native architectures, strong stakeholder engagement, and the ability to translate business requirements into technical