Software Engineer - APG

Snowflake1 months ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 160,000 – 230,000

Level

Mid

Role

Software Engineer

Posted

Jan 20, 2026

Full TimeMid

The role

Summary

Snowflake is seeking an Applied Performance Engineer to join their strategic APG team, responsible for solving complex customer performance issues, conducting competitive benchmarking, and driving product improvements. This role requires expertise in data engineering, SQL performance analysis, and cloud platforms to support enterprise deals and optimize the Snowflake data platform.

What you'll do

Snowflake Architecture Expertise: Develop deep expertise in Snowflake architecture, query processing, workload profiling, and data engineering tools

Competitive Analysis: Become an expert in competitor solutions and products for analytics and data engineering

Benchmark Development: Define, automate, execute, and publish competitive benchmarks against industry competitors

Cross-Team Collaboration: Partner closely with engineering teams to deliver results and guidance on performance gaps, challenges, advantages, and disadvantages

Product Strategy Input: Collaborate with Product Management and Engineering to continuously improve Snowflake's products and ecosystem roadmaps

Customer Performance Support: Help resolve challenging customer performance issues and support major enterprise deals

Technical Innovation: Pioneer Snowflake deployments with newest technology and drive cutting-edge innovation initiatives

What we look for

Technical

Database SystemsMinimum 2 years experience in technical roles delivering Database, Data Warehouse, or Data Engineering implementations

Cloud PlatformsBroad understanding of cloud platforms including AWS, Azure, and OpenStack

Data Engineering StackDeep understanding of complete data engineering and analytics stack from ingestion to BI tools

SQL PerformanceStrong SQL performance analysis experience and optimization skills

Programming SkillsCoding/programming experience in process automation with Python and/or Java

Performance AnalysisAbility to use tools to identify and articulate performance issues

Education

Degree PreferredUniversity degree in computer science, engineering, mathematics or related fields, or equivalent experience

Experience

Competitor ExperienceProven track record of experience with Snowflake competitors

Engineering CollaborationExperience working directly with engineering teams, product managers, and various levels of management

Benchmark InitiativesExperience with benchmark initiatives and competitive analysis

Skills

Required skills

SQL Performance AnalysisAdvanced SQL optimization and performance tuning capabilities

Python/JavaStrong programming skills in Python and/or Java for automation and analysis

Cloud InfrastructureExperience with large-scale infrastructure-as-a-service platforms

Data WarehousingDeep technical expertise in databases, data warehouses, and data processing

Communication SkillsAbility to communicate technical concepts to both technical and executive audiences

Performance BenchmarkingExperience in defining, executing, and analyzing performance benchmarks

Nice to have

Distributed SystemsExtensive knowledge of large-scale databases and distributed data processing technology

Software DevelopmentC/C++, Java, Scala, and Apache Spark development experience

Scripting LanguagesAdvanced scripting with Python, Ruby, Perl, and Bash

AI/ML TechnologiesKnowledge and experience with AI and Machine Learning technologies including PyTorch

Data Platform EcosystemExperience with Databricks, Spark, BigQuery, Redshift, Synapse, and other data platforms

Compensation & benefits

Salary

USD 160,000 – 230,000 (annual)

Stock options

Available

Benefits

Competitive Salary

Base salary range of $160K-$230K annually based on experience and qualifications

Equity Participation

Stock options and equity participation in a fast-growing public cloud company

Professional Development

Opportunities to work with cutting-edge cloud data technology and industry-leading teams

Innovation Culture

Culture focused on impact, innovation, and collaboration with career growth opportunities

Comprehensive Benefits

Full benefits package including health insurance, retirement plans, and other standard benefits

Interview process

1
Initial Screen — Phone or video screening to assess basic qualifications and cultural fit
2
Technical Assessment — SQL performance analysis, data engineering concepts, and system design evaluation
3
Behavioral Interview — Assessment of communication skills, collaboration experience, and leadership potential
4
Technical Deep Dive — Detailed discussion of performance optimization, competitive analysis, and hands-on problem solving
5
Final Interview — Meeting with senior leadership to discuss role expectations, career goals, and cultural alignment