Senior Performance Engineer, Snowpark


San Mateo, CA


Position summary

, support organization, and other engineering organizations at Snowflake. They are called on to help with our most challenging and complicated proof-of-concepts (POCs) as well as production performance issues, and help deliver some of our biggest deals. In addition, they are at the cutting edge of innovation at Snowflake - pioneering Snowflake deployments with the newest technology and working with Engineering and Product Management to continuously improve the product and ensure we continue building the best Cloud Data Platform in the industry.

A successful Applied Performance Engineer will have a broad range of skills and experience ranging from Spark, Python, Scala, Java, SQL, data warehousing, data engineering, security, performance analysis and analytics.. He/she will have the insight to make the connection between a customer's specific business problems and Snowflake's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

The person we're looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. And it means working collaboratively with a broad range of people both inside and outside the company.

Job Description

  • 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.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?