Snowflake
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics
Data Platform Architect - Data Engineering
March 4
Snowflake
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics
📋 Description
• Build the future of the AI Data Cloud. Join the Snowflake team. • Provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as part of their enterprise data architecture. • Work directly with the sales team and channel partners to understand customer needs and strategize on sales cycles. • Provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. • Leverage your expertise, best practices and reference architectures highlighting Snowflake’s Cloud Data Platform capabilities across Data Warehouse, Data Lake, and Data Engineering workloads. • Interact comfortably with executives and technical audiences.
🎯 Requirements
• 5+ years of architecture and data engineering experience within the Enterprise Data space • 5+ years experience within a pre-sales environment • Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric • Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies • Ability to connect a customer’s specific business problems and Snowflake’s solutions • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. • Must have some prior knowledge of Data Engineering tools for ingestion, transformation and curation • Familiarity with real-time or near real time use cases (ex. CDC) and technologies (ex. Kafka, Flink) and deep understanding of integration services and tools for building ETL and ELT data pipelines and its orchestration technologies such as Matillion, Fivetran, Airflow, Informatica, etc.. • Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
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