At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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 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.
Additionally, Snowflake has embarked on a Native Apps Go-To-Market journey with major horizontal and vertical application data providers, including ServiceNow, Workday, Atlassian, Okta, PagerDuty, Adobe, HEAP/Amplitude, Microsoft Dynamics (Dataverse), Oracle Fusion Apps, Honeywell, NextGen, Manhattan Software, AllScripts, Halliburton Landmark, Waters Corporation, and Eagle Investment (BNYM).
This strategic initiative requires a long-term technical resource investment to support partners with:
- SaaS native app connector development.
- Data model optimization for Snowflake.
- Data Cloud architecture best practices in support of Snowflake as a platform sale.
The role also involves collaborating with strategic cloud partners who are investing significantly in developing cloud-native SaaS offerings on Snowflake and working closely with data native 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.
PRINCIPAL DATA CLOUD ARCHITECT 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 staying up-to-date with the latest advancements in Gen AI.
- Helping partners in deploying ML models in Snowflake.
OUR IDEAL PRINCIPAL DATA CLOUD ARCHITECT 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 Docker 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.
Mentorship:
We have a diverse team across the globe with different set skills, experience and tenure. We have a team who celebrates the upleveling of their colleagues in knowledge across all areas and see you being successful with your Partners.
_Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. _
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com