APAC Cloud Solution Architect
5 days ago
Responsibilities:
- Responsible for solution architecture, solution design, and product planning, in Cloud projects and product management.
 - Responsible for the technical side of Cloud projects, including planning, implementation, and management of the process. Includes both pre-sales (demos & POCs) and post-sales (delivery & support).
 - Effectively articulate the value of our Cloud Big Data & AI products and solutions via a keen understanding of competitor product limitations and drawbacks. Able to tailor discussions to stakeholders of varying kinds, levels and cultures across APAC.
 - Deeply understand the challenges and direction of Digital Transformation in various industries, identify key requirements of customers, gain insight into various industry development trends.
 - Gain deep familiarity with the capabilities and competitive advantages of Huawei Cloud products (Big Data and AI). Master the technical aspects of products such as Pros & Cons, ideal use-cases, optimize the data architecture based on different requirements, organize technical POC support, and ensure the feasibility of product solutions.
 - Promote the continuous improvement of Cloud products through product requirement management as the go-between customer-facing colleagues and Product Owners to improve competitiveness.
 
Who you are:
- Independent, hands-on, willing to learn, and takes accountability to deliver results.
 - Excellent customer facing skills. Well-developed spoken and written communication skills and the ability to tailor style to relevant audiences, and successfully liaise with people at different levels.
 - Strong communication skills with the ability to collaborate & communicate across teams within the organization.
 - Strong analytical and problem-solving skills, solution driven, highly organized and detail oriented.
 
Requirements:
- Minimum Bachelors degree with at 1-3 years experience in the technology industry.
 - Required to travel based on the assigned projects.
 - Hands-on experience with technologies in Data Analytics (such as SQL, Python) or AI/machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
 - Experience designing cloud platform architectures (AWS, Azure, or Google Cloud).
 - Willingness to travel for project needs.
 
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