Solution Architect designing and delivering solutions across infrastructure, M365 and Azure Cloud. Leading hands - on architectural roles for client transformation initiatives from the Toronto branch.
About the role
- 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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