Customer Engineer, Data Analytics, Google Cloud - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Google Cloud accelerates every organization's ability to digitally transform its business and industry. As a Practice Customer Engineer with a specialty in Data Analytics, you will partner with sales teams to differentiate Google Cloud, design data foundation architectures, and develop MVPs to demonstrate value to customers.

You will engage with technical and executive stakeholders, provide deep architectural guidance, and help drive adoption of complex workloads.

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 Data Analytics workloads and support the sales cycle.
• Provide hands-on design and prototyping of data foundations and MVPs.
• Offer deep technical consultation and build lasting customer relationships.
• Collaborate with GTM teams to reuse learnings and assets.
• Document customer feedback to inform product and engineering teams.

Skills

Cloud architecture

Data analytics

Customer engagement

Education

Bachelor's degree or equivalent practical experience

Job description

Product area

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.

Job description

As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to perform hands-on designing of data foundation architectures and develop Minimum Viable Product (MVPs) to sell new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development. You will leverage excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge and hands-on technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job 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. Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

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.

Preferred qualifications

• 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.