Solutions Architect
Hyperscience- Full Time
- Junior (1 to 2 years)
Candidates should possess a minimum of 5 years of experience as a solutions architect, data architect, database administrator, or data engineer, with experience migrating from one data platform to another and holistically addressing the challenges of migrating to a new platform. Hands-on experience working with data warehouse systems such as Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, and AWS, Azure, GCP is required, along with an understanding of compli.
As a Solutions Architect, Migrations, you will design comprehensive migration plans and solutions tailored to customer needs, partner with customers as the technical expert for Snowflake implementation, deploy Snowflake following best practices and ensure knowledge transfer, maintain a deep understanding of competitive technologies, work with System Integrator consultants to successfully position and deploy Snowflake, create presentations and documentation, develop utilities and accelerators to streamline migration, and collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products.
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.