Key skills
PythonCSQLNoSQLAIMLGenerative AIMLOpsData EngineeringSnowflakeRedshiftSparkAWSAzureKubernetesDockerLambdaGlueOracleSQL ServerAgileCI/CDCommunicationCustomer Success
About this role
Snowflake is at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. They are seeking a Principal Data Cloud Architect to grow partnerships, deliver solutions, and provide technical expertise to support business growth initiatives.
Responsibilities:
- 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
- Development skills -Work with large-scale datasets, preprocess them, and create appropriate data representations
- Working 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:
- Excellent verbal and written communication skills in English
- Deep technical expertise and a proven track record of successfully working with large partners
- 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
- Run technical enablement programs to provide best practices and solution design workshops
- Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging
- Strong understanding of how Partners make revenue through the Industry priorities & complexities
- Have conversations with other technologists, providing presentations at the C-level
- Development skills - Work with large-scale datasets, preprocess them, and create appropriate data representations
- Working 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
- Provide technical, product and deep architectural expertise on the latest product capabilities
- Strong experience with databases like SQL Server / Oracle/ My SQL/ NoSQL DBs
- Strong experience with data warehouses like Azure Synapse / Redshift / Big Query
- Stay current with the latest Snowflake product updates and best practices
- Have a total of 10+ years of relevant experience
- 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
- Excellent problem-solving skills and the ability to work independently and collaboratively
- 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