Senior Partner Data Cloud Architect, Apps

We're at the forefront of the data revolution, committed to building the world's greatest data and applications platform. 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.Snowflake is rapidly growing our partner Go-To-Market Initiatives. Snowflake Technology Partners, are integral to our business, helping customers unlock the power of the Snowflake Data Cloud. We are looking for a self-driven, go-getter to grow these partnerships, build capabilities, and deliver solutions that support business growth initiatives. The ideal candidate should have excellent verbal and written communication skills in English.Success in this position requires the candidate to be a technical ninja, aligning with key programs and educating/upskilling partners on Snowflake's critical product features. The role involves engaging with both technical and executive audiences using whiteboarding, presentations, and demos to build mindshare among Snowflake partners.The role also involves collaborating with strategic Data Cloud Product partners who are investing significantly in developing cloud-native SaaS offerings on Snowflake and working closely with data app providers.Given the complexity and strategic nature of this role, it requires a candidate with deep technical expertise and a proven track record of successfully working with large partners to create technical champions and deliver impactful results.IN THIS ROLE YOU WILL GET TO: 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. Drive strategic engagements by quickly grasping new concepts and articulating their business value. Showcase the impact of Snowflake through compelling customer success stories and case studies. Understand 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. Lead technical and executive presentations, from deep-dives with technologists to strategic discussions with C-level audiences. Contribute to the creation of reference architectures, blueprints, best practices, etc. based on field experience to continue to up-level and enable our internal stakeholders and Snowflake Powered by Program Apply 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. Build industry solutions based on partner and customer requirements. Build Gen AI-based applications and stay up-to-date with the latest advancements in Gen AI. Helping partners in deploying ML models in Snowflake. Work across Asia Pacific and Japan regions with up to 40% travel time. OUR IDEAL DATA CLOUD ARCHITECT WILL: Have technical, product, and deep architectural expertise on the latest data product capabilities with our Partner community. Have strong experience with databases such as SQL Server / Oracle/ MySQL/ NoSQL DBs. Have strong experience with data warehouses such as Azure Synapse / Redshift / Big Query. Have working knowledge across the latest Snowflake product updates and best practices Have a 10+ years of relevant experience Have in-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data. Have experience and strong knowledge of Docker and how to dockerize Python-based applications. Have knowledge of Container networking and Kubernetes. Have working knowledge of and integration with API's Have proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops Have familiarity with cloud platforms (e.g., Azure, AWS & GCO) and distributed computing Have excellent problem-solving skills and the ability to work independently and collaboratively Have experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc. Have working knowledge on ML development and Generative AI. How to deploy ML models to production.