Build the future of the AI Data Cloud. Join the Snowflake team.
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 Principal 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 Principal 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.
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.

NICE TO HAVE:

• Experience working with big data and/or MPP (massively parallel processing) databases
• Understanding of Data Warehousing fundamentals and concepts
• Database migration and ETL experience
• Seasoned SQL skills (JOINS, CTEs, Window Functions)
• Experience supporting applications running on either Amazon AWS or MS Azure
• Experience working with Apache Hive
• Experience with table formats (Delta, Iceberg).
• Understanding of the Privatelink concept and its configuration in AWS/AZURE.
• Working experience in Data Visualization tools such as Tableau, Power BI, matplotlib, seaborn, and Plotly.
• Familiarity with Data Manipulation and Analysis such as pandas, NumPy, and scipy.
• Experience with API frameworks and tools like Swagger/OpenAPI, Postman, and API Gateway.
• Familiarity with Machine Learning Libraries such as scikit-learn, TensorFlow, Keras, and PyTorch.
• Understanding of big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong knowledge of statistical analysis and machine learning techniques.
• Experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch)
• Experience with Infrastructure as Code (IaC) tools such as Terraform.
• Understanding of natural language processing (NLP) techniques.
• Familiarity with software development methodologies (e.g., Agile, Scrum).
  Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
  How do you want to make your impact

Please refer the Job description for details