APAC Cloud Solution Architect - Big Data

Responsibilities:

1. Responsible for data architecture, solution design, and product planning, in Big Data projects and product management.
2. Responsible for the technical side of big data projects, including planning, implementation, and management of the process. Includes both pre-sales (demos & POCs) and post-sales (delivery & support).
3. Effectively articulate the value of our Big Data products and solutions via a keen understanding of competitor Big Data product limitations and drawbacks. Able to tailor discussions to stakeholders of varying kinds, levels and cultures across APAC.
4. Deeply understand the challenges and direction of Digital Transformation in various industries, identify key requirements of customers, gain insight into various industry development trends, within the Data domain
5. Gain deep familiarity with the capabilities and competitive advantages of Huawei Cloud EI 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.
6. Promote the continuous improvement of Big Data products through product requirement management as the go-between customer-facing colleagues and Product Owners to improve competitiveness.

Who you are:

1. Independent, hands-on, willing to learn, and takes accountability to deliver results.
2. 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.
3. Strong communication skills with the ability to collaborate & communicate across teams within the organization.
4. Strong analytical and problem-solving skills, solution driven, highly organized and detail oriented.

Requirements:

1. Minimum Bachelors degree with at 1-3 years experience in the technology industry.
2. Required to travel based on the assigned projects.
3. Hands-on experience with technologies in Data Analytics, such as SQL, Python

1. Experience & knowledge of Big Data technologies & concepts such as Data Warehouse, ETL, Data Governance, Airflow, Spark, Hive, Flink, SQL, Python, Data Catalog, BI Dashboards, etc.
2. Good understanding of mainstream cloud products and services including Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP).
3. Knowledge of related cloud computing domains, especially AI, is a plus. Relevant domains include Database, Compute (K8s, VMs), Networking, Security, Landing Zone etc.
4. Professional customer-facing experience in Data, tech pre-sales, Consulting