Solutions Consultant
Common Room- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a University degree in computer science, engineering, mathematics, or a related field, or equivalent experience. They should have 2-5 years of experience as a solutions architect, data architect, database administrator, or data engineer, and a willingness to forge ahead to deliver outcomes for customers in a new arena with a new product set. Strong passion for solving complex customer problems, the ability to learn new technology and build repeatable solutions/processes, and anticipating project roadblocks with mitigation plans are also required. Experience in Data Warehousing, Business Intelligence, AI/ML, application modernization, or Cloud projects, including experience with Spark and Scala, is necessary.
As a Solutions Consultant at Snowflake, the individual will be responsible for delivering exceptional outcomes for teams and customers during modernization projects, engaging with customers to migrate from legacy environments into Snowpark/Snowflake. They will act as the expert for customers and partners throughout this process, working with internal teams to provide requirements for the Snowconvert utility based on project experiences, ensuring continuous improvement of the tooling. The role also involves presenting to both technical and executive audiences, communicating effectively across multiple groups, and demonstrating hands-on experience in a technical role with SQL, data warehousing, cloud data, analytics, or ML/AI.
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.