Principal Data Cloud Architect – Apps

🕒 April 30

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• Run training sessions, workshops, webinars to help Partners become proficient in Snowflake. • Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake. • Keep Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits. • Run technical enablement programs to provide best practices and solution design workshops to help Partners create effective solutions. • Have a Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging, sharing customer success stories and case studies to showcase the impact of Snowflake. • Have a strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services. • Have conversations with other technologists, providing presentations at the C-level. • Work with large-scale datasets, preprocess them, and create appropriate data representations • Work with partners in building the solution using Python, Snowpark and other open source libraries. • Dockerize their applications and run those Docker images inside Snowflake. • Building industry solutions based on partner and customer requirements. • Building Gen AI-based applications and staying up-to-date with the latest advancements in Gen AI. • Helping partners in deploying ML models in Snowflake.

🎯 Requirements

• 10+ years of relevant experience • Strong experience with databases like SQL Server / Oracle/ My SQL/ NoSQL DBs • Strong experience with data warehouses like Azure Synapse / Redshift / Big Query. • In-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data • Experience and strong knowledge on Docker and how to dockerize Python based applications. • Knowledge on Container networking and overview on Kubernetes. • Working knowledge on API’s and how to build and expose applications as APIs. • Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops • Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing • Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc. • High level overview and knowledgeable on ML development and Generative AI.

🏖️ Benefits

• Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.