Staff Software Engineer - Applied Performance Group

Snowflake Inc.
Menlo Park, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 339K

Job location

Menlo Park, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Bash
C++
Profiling
Databases
Data Architecture
Information Engineering
Data Infrastructure
Data Warehousing
Database Queries
Distributed Computing Environment
Perl
Greenplum
Python
PostgreSQL
Microsoft Software
OpenStack
Oracle Applications
Ruby
Scala
Software Engineering
Teradata
Transaction Processing (Computing)
Data Processing
Scripting (Bash/Python/Go/Ruby)
Cloud Platform System
Data Ingestion
PyTorch
Netezza
Snowflake
Spark
Information Technology
Apache Flink
Dask
Google BigQuery
Kafka
Azure
Redshift
Databricks

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Applied Performance Group (APG) Engineering team provides a highly strategic function at Snowflake, with direct impact to our product direction, as well as to our bottom line. APG engineers are a key bridge between Engineering and our Sales organization, support organization, and other engineering organizations at Snowflake. They are called on to help with our most challenging customer performance issues, and help deliver some of our biggest deals. In addition, APG plays a strategic role in competitive benchmarking, defining and/or utilizing industry benchmarks to compare Snowflake performance against our competitors.

APG Engineers 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 strong SQL skills, data warehousing, data architecture, data engineering, transaction processing, security, performance analysis, analytics, etc. 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 and execute proof-of-concepts and benchmarks, but also to provide consultative assistance in areas of product direction.

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., * 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

  • 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, etc.)
  • 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 either in use (eg. using a coding assistant), or in development (eg. using technologies like PyTorch for training and inference).
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience.

Benefits & conditions

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.

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?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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

  • The estimated base salary range for this role is $236,000 - $339,200.
  • 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.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form. Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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