Snowflake SENIOR PERFORMANCE ENGINEER SNOWPARK 

United States, California 

463159332

• Be an expert on the topics of Snowflake architecture, Snowpark, query processing, workload profiling, and Snowflake tools.
• Partner closely with sales engineers, solutions, support, and engineering teams to deliver guidance on performance issues at any phase in the life cycle, including POC and production customers.
• Engage directly on customer performance challenges for our most critical and impactful customers.
• Maintain deep understanding of existing and complementary technologies and vendors and develop best practices for Snowflake to integrate with them.
• Collaborate with Product Management and Engineering to continuously improve Snowflake’s products and eco-system roadmaps.

Our Ideal Applied Performance Engineer will have:

• Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations.
• Experience and ability to work directly with customers.
• Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiences.
• Deep understanding of complete data engineering and analytics stack and workflow, from data ingestion and load to transformation to data platform design to BI and analytics tools.
• Deep technical expertise in databases, data warehouses, data processing, and applications.
• Strong background in Python, Spark, and other data engineering platforms and tools.
• Strong SQL language experience, ability to write and troubleshoot and tune complex SQL queries.

Strongly Desired:

• Extensive knowledge of and experience with large-scale database technology (e.g. Databricks, Spark, Netezza, Oracle Exadata, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, etc.).
• Experience with non-relational platforms and tools for large-scale data processing (e.g. Spark, Hadoop, HBase).
• Software development experience with C/C++ or Java.
• Scripting experience with Python, Ruby, Perl, Bash.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience.

Bonus points for experience with the following:

• Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau).
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack).
• Experience implementing ETL pipelines using custom and packaged tools.
• Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $246,100 - $376,913.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.