G

Google

Runs Search and YouTube and builds Gemini AI

Customer Engineer - Agentic Data Cloud, Google Cloud

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeMelbourne VIC, AustraliaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience is required.
  • At least 10 years of experience with cloud-native architecture in a customer-facing or support role is required.
  • Experience with Big Data technologies or concepts, including analytics warehousing, data processing, data transformation, data governance, data migrations, Extract, Transform, Load (ETL), Extract, Load, Transform (ELT), SQL, Spark, performance or scalability optimization, and batch versus streaming, is required.
  • Strong technical, communication, and organizational skills are required.

Responsibilities

  • Work with the team to identify and qualify business opportunities related to the data lifecycle, understand key customer objections, and develop strategies to resolve technical blockers.
  • Share in-depth data analytics expertise to support technical customer relationships through technology advocacy, bid responses, product and solution briefings, proof-of-concept work, and direct partnership with product management to prioritize solutions that impact customer adoption of Google Cloud.
  • Identify business and technical requirements, conduct full technical discovery, and architect client solutions that meet gathered requirements.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Prepare and deliver sales messaging highlighting the Google Cloud value proposition through whiteboard and slide presentations, product demonstrations, white papers, and responses to Requests for Information.
  • Partner with technical sales teams as a data analytics subject matter expert to differentiate Google Cloud for customers.
  • Help prospective and existing customers and partners understand Google Cloud, develop cloud solutions and architectures for business challenges, engage in proofs of concept, and troubleshoot technical questions and roadblocks related to database migrations, data back ends, and the data lifecycle.
  • Use technical expertise and presentation skills to understand customer business and technical requirements and present solutions on Google Cloud.
  • Assist sales colleagues by solving key technical issues for customers.
  • Liaise with product marketing management and engineering teams to track industry trends and devise enhancements to Google Cloud products.

Desired Qualifications

  • Experience in technical sales or consulting in cloud computing, data analytics, or Big Data is preferred.
  • Experience developing data warehousing, data lakes, batch or real-time event processing, streaming, data processing, ETL or ELT, data migrations, data visualization tools, and data governance on cloud-native architectures is preferred.
  • Experience with architecture design, implementation, tuning, schema design, and query optimization of scalable and distributed systems is preferred.
  • Experience with cloud computing infrastructure, storage, platforms and data, and knowledge of the cloud market, competitive dynamics, and customer buying behavior are preferred.
  • Understanding customer requirements and the ability to break them down and design technical architectures are preferred.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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