Cloud Data Architect
6 days ago
Overview
">The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.
About Us
">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.
The Job Description
">This role involves partnering with technical Sales teams as a subject matter expert in Data, and Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners in understanding Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks.
Your Responsibilities
">- You will work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
- You will share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- You will identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
- You will prepare and deliver business messages in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and Request for Information (RIF) responses.
Your Qualifications
">To be successful in this role, you should have:
Bachelor's degree in computer science or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, and other data concepts.
Experience with Machine Learning model development and deployment frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
Salary: $150,000-$200,000 per year.
">Note: The salary range is based on location and industry standards.
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