Introduction
As an IBM Application Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders.
Your Role and Responsibilities
- This role is required to possess a range of technical and professional skills to effectively work on the Snowflake platform.
- Proficient in SQL language, able to write efficient query statements and stored procedures.
Understanding of the Snowflake platform architecture, including fundamental concepts and principles related to computing, storage, and networking.
Want more jobs like this?
Get Data and Analytics jobs in Beijing, China delivered to your inbox every week.
- Familiarity with data modeling and data warehouse design principles, able to design reasonable table structures, indexes, and partitioning strategies.
- Able to handle large-scale datasets, including data loading, transformation, cleaning, and integration.
Familiar with the ETL (Extract, Transform, Load) process, able to integrate data from different sources into Snowflake.
- Able to quickly locate and resolve performance issues, data errors, or query optimization problems encountered on the Snowflake platform.
Required Technical and Professional Expertise
-Team Collaboration Skills:
Able to work closely with data scientists, data analysts, business analysts, and other team members to understand their needs and provide corresponding technical support.
Effectively communicate with different departments and teams to drive project progress.
-Continuous Learning Abilities:
Stay up-to-date with the latest developments and updates on the Snowflake platform, continuously learning new technologies and tools.
Able to adapt to rapidly changing technological environments and maintain technical proficiency.
Preferred Technical and Professional Expertise
Experience Requirements:
-Database or data warehouse work experience, familiar with data analysis and data processing workflows.
-Enhancing your skills and knowledge through relevant training courses, community discussions, and technical documentation can also be beneficial.