Solution Engineer (Data Engineering Specialist)

About the role

Join Snowflake, a leading cloud data platform, as a Solution Engineer. In this role, you will provide technical leadership, work directly with the sales team, and demonstrate the value of Snowflake technology throughout the sales cycle. You will collaborate with various teams to continuously improve Snowflake's products and marketing. Key missions: Collaborate with the sales team to understand customer needs, strategize on winning sales cycles, and provide compelling value-based demonstrations.. Leverage expertise in data engineering and architecture to present and demo Snowflake's capabilities to business executives and technical audiences.. Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle. Profile: - Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred - Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions - Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet - 10+ years of architecture and data engineering experience within the Enterprise Data space - 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…) - Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica - Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) - 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 - Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture