Snowflake SENIOR CLOUD SUPPORT ENGINEER - SQL 

Australia, Victoria, Melbourne 

215056690

Ideally, you have worked in a 24x7 environment, handled technical case escalations and incident management, worked in technical support for an RDBMS, been on-call during weekends, and are familiar with database release management.

AS A SENIOR CLOUD SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL:

• Drive technical solutions to complex problems providing in-depth analysis and guidance to Snowflake customers and partners using the following methods of communication: email, web, and phone

• Adhere to response and resolution SLAs and escalation processes in order to ensure fast resolution of customer issues that exceed expectations

• Demonstrate good problem-solving skills and be process-oriented

• Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues

• Document known solutions to the internal and external knowledge base

• Report well-documented bugs and feature requests arising from customer-submitted requests

• Partner with engineering teams in prioritizing and resolving customer requests

• Participate in a variety of Support initiatives

• ​​Provide support coverage during holidays and weekends based on business needs

OUR IDEAL SENIOR CLOUD SUPPORT ENGINEER WILL HAVE:

• Bachelor’s. or Master’s degree in Computer Science or equivalent discipline

• 5+ years experience in a Technical Support environment or a similar technical function in a customer-facing role

• Excellent writing and communication skills in English with attention to detail

• Ability to work in a highly collaborative environment across global teams

• Strong knowledge of at least one major RDBMS

• In-depth understanding of SQL data types, aggregations, and advanced functions including analytical/window functions.

• Proven experience with query lifecycle, profiles, and execution/explain plans.

• Demonstrated ability to analyze and tune query performance and provide detailed recommendations for performance improvement.

• Advanced skills in interpreting SQL queries and execution workflow logic.

• Proven ability with rewriting joins for optimization while maintaining logical consistency.

• Proficiency with JSON, XML, and other semi-structured data formats.

• Experience with querying and transforming semi-structured data.

• In-depth knowledge of various caching mechanisms and ability to take advantage of caching strategies to enhance performance.

• Extensive experience with at least one major cloud service provider

• Advanced understanding of cloud services, architecture, and best practices.

• Proficient in database patch and release management.

• Ability to interpret systems performance metrics (CPU, I/O, RAM, Network stats)

• Experience with designing and implementing high availability and disaster recovery plans.

NICE TO HAVE:

• Experience working with a distributed database i.e. big data and/or MPP (massively parallel processing) databases.

• Database migration and ETL experience

• Ability to monitor and optimize cloud spending using cost management tools and strategies.

• Knowledge of distributed computing principles and frameworks (e.g., Hadoop, Spark).