Senior / Staff Cloud Support Engineer - Data Platform

Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers’ success. We form partnerships with customers by listening, learning, and building connections.  

Snowflake’s values are key to our approach and success in delivering world-class Support.  Putting customers first, acting with integrity, owning initiative and accountability, and getting it done are Snowflake core values and are reflected in everything we do.

Snowflake’s Support team is expanding! We are looking for a Senior Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking.

As a Senior Cloud Support Engineer, your role is to delight our customers with your passion and knowledge of Snowflake Data Warehouse.  Customers will look to you for technical guidance and for expert advice with regards to their effective and optimal use of Snowflake.  You will be the voice of the customer into Snowflake’s product and engineering teams for product feedback and improvements.  You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements.

Based on business needs, you may be assigned to work with one or more Snowflake Priority Support customers. You will develop a strong understanding of the customer’s use case and how they leverage the Snowflake platform. You will deliver exceptional service, enabling them to achieve the highest levels of continuity and performance from their Snowflake implementation.

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.

OUR AMAZING CUSTOMER SUPPORT TEAM WILL WORK IN THREE DIFFERENT SHIFTS AS DETAILED BELOW:

1. 1st Shift:

   • Working Hours: 6 AM to 3 PM
   • Coverage: Sunday to Thursday, On-Duty

2. 2nd Shift:

   • Working Hours: 2 PM to 11 PM
   • Coverage: Sunday to Thursday, On-Duty

3. 3rd Shift:

   • Working Hours: 10 PM to 7 AM
   • Coverage: Sunday to Thursday, On-Duty

Additionally, there is a Weekend On-call shift, which is rotating:

• Working Hours: Fri 7 AM - Sun 6 AM (47 Hours) 

Kindly note: The 2nd and 3rd shifts will rotate every quarter. We will share more information during the interviews.

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
• 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 incident management and on-call rotation
• 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

• Experience in a designated customer-focused support role providing a personalized support experience with a deeper knowledge of the customer environment
• Experience in configuring/troubleshooting one or more of the following drivers - ODBC, JDBC, Python Connector, NodeJS, Go, .Net, etc.
• Strong understanding of Amazon AWS Services such as S3, SQS, SNS, Lambda Functions, API Gateway, VPC, Route 53, and/or similar services in Microsoft Azure and Google Cloud Ecosystems
• Debugging experience in one or more of Python, Java, and Scala 
• Familiarity with at least one of the following: ETL/ELT, reporting tools such as AWS Glue, EMR, Azure Data Factory, Informatica, Matillion, Tableau, Fivetran, HVR etc.
• Familiarity with database related concepts and writing SQL queries

• Experience troubleshooting database connectivity issues/code 
• Excellent ability to troubleshoot on a variety of operating systems (Windows, Mac, *Nix) 
• Good understanding of the technical fundamentals of the Internet. You should have knowledge of internet protocols such as TCP/IP, HTTP/S, DNS as well as the ability to use diagnostic tools to troubleshoot connectivity issues
• Experience with Data Loading of File Formats such as CSV, Parquet, JSON etc
• Ability to reproduce and troubleshoot complex technical issues

NICE TO HAVES: 

Experience working with big data and/or MPP (massively parallel processing) databases

• Understanding of Data Warehousing fundamentals and concepts
• Database migration and ETL experience
• Scripting/coding experience In any of the following: .Net, NodeJS, R, GO
• Experience supporting applications running on either Amazon AWS or MS Azure
• Experience with virtualization solutions (VMware, Docker, Virtualbox, etc)
• Understanding of cloud computing security concepts

Please do not include any sensitive personal information about yourself or others in your application or application materials (e.g., resume, cover letter), including but not limited to, health information, credit information, references to parentage and ethnic or tribal origin, and genetic information.