Staff Cloud Support Engineer
snowflake
Job Description
AS A STAFF CLOUD SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL:
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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
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Adhere to response and resolution SLAs and escalation processes in order to ensure fast resolution of customer issues that exceed expectations
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Demonstrate good problem-solving skills and be process-oriented
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Utilize the Snowflake environment, connectors, 3rd party partners for software, and tools to investigate issues
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Document known solutions to the internal and external knowledge base
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Submit well-documented bugs and feature requests arising from customer-submitted requests and partner with Engineering towards a resolution.
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Proactively identify recommendations and lead global initiatives to improve product quality, customer experience, and team efficiencies.
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Provide support coverage during holidays and weekends based on business needs
OUR IDEAL STAFF CLOUD SUPPORT ENGINEER WILL HAVE:
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Bachelor’s or Master’s degree in Computer Science or equivalent discipline
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8+ years of experience in a Technical Support environment or a similar technical function in a customer-facing role
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Excellent written and verbal communication skills in English with attention to detail
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Ability to work in a highly collaborative environment across global teams
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Ability to train team members on data warehousing fundamentals and concepts
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A clear understanding of data warehousing fundamentals and concepts
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Ability to debug, rewrite, and troubleshoot complex SQL queries for achieving workarounds or better solutions
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Strong knowledge of RDBMS, SQL data types, aggregations, and functions including analytical/window functions
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Good understanding of RDBMS query profiles and execution plans to analyze query performance and make recommendations for improvement
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A clear understanding of Operating System internals, memory management, CPU management
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Database migration and ETL experience
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Scripting/coding experience in any programming language
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Working knowledge of semi-structured data
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Experience in RDBMS workload management.
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Good understanding of any of the major cloud service provider’s ecosystem
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Ability to interpret systems performance metrics (CPU, I/O, RAM, Network stats).
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Understanding of the release cycle and tracking of behavior changes.