Snowflake29.04.2026
Principal Data Cloud Architect - Apps
Полная занятостьУдалёнка
Обязанности
- 01Run training sessions, workshops, webinars to help Partners become proficient in Snowflake
- 02Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake
- 03Keep Partners up to date on key Snowflake product updates and future roadmaps
- 04Run technical enablement programs to provide best practices and solution design workshops
- 05Have Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging
- 06Share customer success stories and case studies to showcase the impact of Snowflake
- 07Have conversations with other technologists, providing presentations at the C-level
- 08Work with large-scale datasets, preprocess them, and create appropriate data representations
- 09Working with partners in building the solution using Python, Snowpark and other open source libraries
- 10Dockerize their applications and run those Docker images inside Snowflake
- 11Building industry solutions based on partner and customer requirements
- 12Building Gen AI-based applications and staying up-to-date with the latest advancements in Gen AI
- 13Helping partners in deploying ML models in Snowflake
Требования
- 01Provide technical, product and deep architectural expertise on the latest product capabilities with our Partner Solution Architect community
- 02Strong experience with databases like SQL Server / Oracle/ My SQL/ NoSQL DBs
- 03Strong experience with data warehouses like Azure Synapse / Redshift / Big Query
- 04Stay current with the latest Snowflake product updates and best practices
- 05Have a total of 10+ years of relevant experience
- 06Have in-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data
- 07Have experience and strong knowledge on Docker and how to dockerize Python based applications
- 08Should have knowledge on Container networking and overview on Kubernetes
- 09Working knowledge on API’s and how to build and expose applications as APIs
- 10Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops
- 11Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing
- 12Excellent problem-solving skills and the ability to work independently and collaboratively
- 13Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc
- 14High level overview and knowledgeable on ML development and Generative AI. How to deploy
Условия
- 01Excellent verbal and written communication skills in English