Senior Cloud Support Engineer, Snowflake
Data Platform
$115-170.2k
This role is eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office ( Dublin, CA)
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
$115-170.2k
This role is eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office ( Dublin, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 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
- 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
- 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
- Ability to reproduce and troubleshoot complex technical issues
- In-depth knowledge of major cloud service providers' ecosystems
- Proficiency in reading and understanding Python and Java code
- Specialized knowledge of AWS services or similar services on Microsoft Azure or Google Cloud
- ETL/ELT tools knowledge such as AWS Glue, EMR, Azure Data Factory, and Informatica
- In-depth experience with third-party troubleshooting tools and advanced network and data analysis
- Advanced knowledge in driver configuration and troubleshooting for ODBC, JDBC, GO, and .NET
- Debugging experience in Python, Java, or Scala
- Advanced knowledge of internet protocols and advanced diagnostic tools for connectivity issues
- Expert-level troubleshooting skills across various operating systems (Windows, Mac, Unix-like)
- Familiarity with database-related concepts and writing SQL queries
- Familiarity with Kafka and Spark technologies
- Work with customers to address programmability-related issues
- Support the integration of third-party APIs and services into our applications
- Expert knowledge of programming languages such as Python and Java
- Experience with AWS Lambda and related AWS services (e.g., S3, DynamoDB, API Gateway, SNS)
- Understanding of software development principles, including object-oriented programming and version control systems (e.g., Git, GitHub, GitLab)
- Experience with software development tools and environments (e.g., Visual Studio Code, Eclipse, or IntelliJ IDEA)
- Understanding of RESTful APIs and web services
- Exposure to automation and scripting
- Working experience in containerization and orchestration tools (e.g., Docker, Kubernetes)
Desirable
- Understanding of data loading/unloading process in Snowflake
- Understanding Snowflake streams and tasks
- Expertise in database migration processes
- SQL skills, including JOINS, Common Table Expressions (CTEs), and Window Functions
- Experience in supporting applications hosted on Amazon AWS or Microsoft Azure
- Familiarity with containerization technologies like Docker and Kubernetes
- Working experience in Data Visualization tools such as Tableau, Power BI, matplotlib, seaborn, and Plotly
- Experience developing CI/CD components for production-ready data pipelines
- Working experience with Jupyter Notebooks
- Experience with API frameworks and tools like Swagger/OpenAPI, Postman, and API Gateway
- Familiarity with Data Manipulation and Analysis such as pandas, NumPy, scipy
- Understanding of big data technologies (e.g., Hadoop, Spark) is a plus
- Understanding of event-driven architectures and microservices
- Knowledge of authentication and authorization protocols (OAuth, JWT, etc.)
What the job involves
- Snowflake’s Support team is expanding!
- 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 expert advice with regard to their effective and optimal use of Snowflake
- You will be the voice of the customer regarding product feedback and improvements for Snowflake’s product and engineering teams
- 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
- 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 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 organizations 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
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
Bozeman, MT
Leadership
Benoit Dageville
(Co-Founder)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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