Senior Developer - 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 partners including System Integrators, Cloud Service Providers and Technology Partners are an integral part of Snowflake business to help customers unlock Power of Snowflake Data Cloud. We are looking for a self-driven, go-getter to help grow these Partners on capability, solutions and support business growth initiatives. They should have excellent verbal and written communications skills in English.

Success in this position requires the candidate to be a technical ninja by aligning with key programs and educating/up-skilling partners on these key product features. The candidate will present skills to both technical and executive audiences, whether it's white boarding or using presentations and demos to build mind share among Snowflake Partners.

We are seeking a candidate with a proven track record of successfully working with large partners and creating technical champions among them. Candidate with knowledge on broader Platform ecosystem, products, competition to influence and be the partner’s trusted advisor. 

This role requires travel up to 15% within India to support partner engagements such as enablement, deal support and partner events, and for company events outside India, as required. 

YOU WILL:

• 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 stay up-to-date with the latest advancements in Gen AI.
• Helping partners in deploying ML models in Snowflake.

OUR IDEAL WILL:

• Provide technical, product and deep architectural expertise on the latest product capabilities with our Partner Solution Architect community.
• 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
• Have in-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data, 
• Have experience and strong knowledge on dockers and how to dockerize Python based applications.
• Should have 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. How to deploy ML models to productions.