Staff Cloud Support Engineer, Snowflake
Data Platform
$116-152.2k
+ Eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$116-152.2k
+ Eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- We are looking for a Staff 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
- 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
- Bachelor’s. or Master’s degree in Computer Science or equivalent discipline
- 8+ 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
- Ability to train team members on data warehousing fundamentals and concepts
- 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
- Experience in Spark and Kafka concepts
- Experience in using third-party troubleshooting tools such as Wireshark, Fiddler, Process Monitor/Explorer, Linux performance tools, etc
- Debugging/development experience in one or more of Python, Java, and Scala and knowledge of code maintenance on any of the Git repositories
- Experience in API Programming, e.g. REST API, Python API, SQL API, etc
- 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
- Experience in capturing and analyzing the tcpdumps, heap dump, and stack traces
- 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
Desirable
- 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, Javascript, R, GO
- Experience with Libraries/Frameworks such as Pandas, SciPy, TensorFlow etc
- Experience supporting applications running on either Amazon AWS or MS Azure
- Experience with virtualization and Container solutions (VMware, Docker, Virtualbox, Kubernetes, etc)
- Understanding of cloud computing Network and Security concepts
- Experience with CI/CD platforms and tools such as Terraform, Azure Devops, Jenkins etc
What the job involves
- As a Staff 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 expert advice with regard 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
- 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 and work with Engineering toward a resolution
- Proactively identify recommendations and lead global initiatives to improve product quality and customer experience
- Provide support coverage during holidays and weekends based on business needs
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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