Principal Data Cloud Architect leading technical engagements to enhance partnerships. Empowering service providers to deliver optimal solutions utilizing Snowflake.
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.
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.
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