Build the future of data. Join the Snowflake team.
ABOUT SNOWFLAKE
There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
ABOUT APPLIED PERFORMANCE GROUP AT SNOWFLAKE
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 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 strong SQL skills, data warehousing, data architecture, data engineering, ELT/ETL, 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 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, 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
Participate and contribute in design reviews, cross-team initiatives, and be capable of contributing to and leading important projects or escalations
OUR IDEAL APPLIED PERFORMANCE ENGINEER WILL HAVE:
Minimum 15 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
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.)
Deep technical expertise in databases, data warehouses, data processing, and applications
Strong SQL language experience, ability to write and troubleshoot and tune complex SQL queries
STRONGLY DESIRED:
Experience with non-relational platforms and tools for large-scale data processing (e.g. Spark, Hadoop, HBase)
Background in Python, Spark, and other data engineering platforms and tools
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
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