# Staff Software Engineer - Applied Performance Group

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Fullstack Engineering
**Salary:** $236k – $339k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Java, Snowflake, AWS, Azure, Spark, Databricks, Google Bigquery, Amazon Redshift, Apache Kafka, Kubernetes, Teradata, Oracle, Postgres
**Posted:** 2025-10-31

> Staff Software Engineer in Applied Performance Group tackles challenging customer performance issues, conducts competitive benchmarks, and collaborates with engineering and sales to optimize Snowflake's cloud data platform. Requires 5+ years in data engineering/databases, strong SQL/Python/Java skills, and cloud expertise.

## Job Description

## Responsibilities
- Be an expert on the topics of Snowflake architecture, query processing, workload profiling, data engineering, and Snowflake tools
- Be an expert in competitor solutions/products for analytics and data engineering
- Define, automate, execute, and publish competitive benchmarks
- Partner closely with other engineering teams to deliver both results and guidance on performance gaps, challenges, advantages, and disadvantages
- Collaborate with Product Management and Engineering to continuously improve Snowflake’s products and eco-system roadmaps.

## Requirements
**Ideal Applied Performance Engineer Will Have:**
- Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiatives
- Experience and ability to work directly with other engineering teams, product managers, and various levels of management
- Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiences
- Broad understanding of cloud platforms and solutions, including experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. **Amazon AWS**, **Microsoft Azure**, **OpenStack**)
- Proven track record of experience with Snowflake competitors
- 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
- Coding/programming experience in process automation
- Strong **SQL** performance analysis experience, **Python** and/or **Java** expertise, and the ability to use tools to identify and articulate performance issues

**Strongly Desired:**
- Extensive knowledge of and experience with large-scale databases and distributed data processing technology (e.g. **Databricks**, **Spark**, **Netezza**, **Oracle**, **Teradata**, **Greenplum**, **Google BigQuery**, **Amazon Redshift**, **Microsoft Synapse**, **Postgres**, **Apache Spark**, **Ray**, **Dask**, **Apache Kafka**, **Apache Flink**)
- Software development experience with **C/C++**, **Java**, **Scala**, **Spark**
- Scripting experience with **Python**, **Ruby**, **Perl**, **Bash**
- Knowledge of and experience with AI and Machine Learning technologies (e.g. **PyTorch**)
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience

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