Prototyping Customer Engineer, Data

Google Cloud is a leading provider of enterprise-grade cloud solutions leveraging cutting-edge technology across 200+ countries.
Data
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud

Description For Prototyping Customer Engineer, Data

Google Cloud is seeking a Prototyping Customer Engineer specializing in Data to join their Asia Pacific (APAC) Solutions Prototyping Team. This role combines technical expertise with customer-facing responsibilities, focusing on demonstrating the transformative power of data, analytics, AI, and software engineering.

The position requires a seasoned professional with 10 years of experience in cloud computing, particularly in AI/ML and data engineering. You'll be responsible for leading the design and development of prototypes that showcase how Google Cloud's technologies can solve complex business challenges. The role involves close collaboration with customers to understand their needs and translate them into practical solutions.

As a Prototyping Customer Engineer, you'll work at the intersection of cutting-edge technology and business transformation. You'll leverage your expertise in Python, SQL, containerization, and modern DevOps practices to create compelling proof-of-concepts. The role also includes mentoring team members and contributing to the strategic direction of prototyping efforts.

This position offers the opportunity to work with Google Cloud's enterprise-grade solutions and help organizations across various industries digitally transform their businesses. You'll be part of a team that serves customers in more than 200 countries, making a significant impact on how businesses leverage cloud technology.

The ideal candidate should possess strong technical skills in data engineering, AI/ML, and cloud computing, combined with excellent communication abilities to effectively engage with stakeholders. This role provides an exciting opportunity to shape the future of cloud computing while working with diverse customers across the APAC region.

Last updated 2 minutes ago

Responsibilities For Prototyping Customer Engineer, Data

  • Lead the design, development, and iterative refinement of data-centric and AI powered prototypes on GCP
  • Collaborate with customers to understand their business tests, technical requirements, and objectives
  • Mentor and guide junior team members, fostering innovation and learning
  • Contribute to development of internal best practices for data and AI-motivated solutions
  • Stay up-to-date with emerging trends in cloud computing, data science and AI/ML

Requirements For Prototyping Customer Engineer, Data

Python
Kubernetes
  • Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
  • 10 years of experience in cloud computing, with focus on AI/ML, data analytics, and data engineering
  • Experience with modern application development and DevOps practices, including CI/CD, containerization, and infrastructure-as-code
  • Experience in Python with developing and deploying GenAI models and applications
  • Experience with data analysis, data engineering, database technologies (SQL, NoSQL), and data warehousing solutions
  • Ability to analyze business problems and develop technical solutions

Interested in this job?

Jobs Related To Google Prototyping Customer Engineer, Data

Staff Software Engineer, BigQuery SQL

Staff Software Engineer position at Google working on BigQuery SQL, offering competitive salary and benefits package.

Staff Software Engineer, Metrics and Business Intelligence

Lead data engineering and business intelligence initiatives at Google, defining metrics and KPIs for product infrastructure while providing technical leadership across teams.

Staff Software Engineer, Core Data Query

Lead software engineer position at Google focusing on core data query systems, requiring expertise in distributed systems and team leadership.

Data Scientist Manager II, Product

Lead data science initiatives and teams at Google, applying advanced analytics to solve complex product challenges while managing and developing technical talent.

Staff Data Scientist, Product, Google Play

Lead data science initiatives and teams at Google Play, combining advanced analytics with strategic leadership to drive product decisions and business growth.