Snowflake Data Architect (Contract)
Motley FoolFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Required skills include a minimum of 5 years in leadership roles within technical consulting or solutions architecture, proven experience managing large-scale migrations to cloud solutions, experience with data warehouse systems, comprehensive understanding of AWS, Azure, and GCP, and proficiency in SQL, Python, and other scripting languages.
The role involves collaborating with System Integrators, Product Management, Engineering, and Marketing teams to ensure successful Snowflake deployments and advance offerings.
Strong candidates will have at least 5 years of leadership in technical consulting, experience with large-scale cloud migrations and data warehouses, cloud platform expertise, and proficiency in SQL and Python; preferred qualifications include Snowflake certification, ETL experience, and familiarity with BI tools.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.