Senior Solution Engineer

Snowflake is seeking a Senior Solution Engineer to join their Solutions Engineering team, supporting the Manufacturing sector. The ideal candidate will have experience with Snowflake's Data Platform and AI/ML technologies, with a strong background in data engineering and architecture.

Requirements

• 5 - 10+ years of data engineering experience within the Enterprise Data space
• 5+ years experience working with AI/ML technologies
• Outstanding presentation skills to both technical and executive audiences
• 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
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
• Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
• 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)
• Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
• Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
• Bachelor’s Degree required, computer science, engineering, mathematics or related fields, or equivalent experience preferred