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 are seeking a highly experienced and results-driven AI/ML focused Senior Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners.

As a Senior Data Cloud Architect - SI Partners, you will perform:

1. Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration):

• Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs.

• Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience.

• Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge.

2. SI Partner Snowflake Practice Building (Focus on Production Readiness):

• COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments, leveraging your SI center of excellence experience.

• Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge, informed by your SI skill development experience.

• Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation, drawing on your SI presentation and communication experience.

3. Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions):

• Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market, based on your SI solution development experience.

• Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides, drawing on your SI asset creation experience.

• Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins, informed by your SI customer journey analysis experience.

4. AI/ML Focused work with SI partners (Hands-On Expertise):

• Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application.

• Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization.

• Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results.

Our ideal Senior Data Cloud Architect - SI Partners will have:

• REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments.

• PLUS: Knowledge of competitive AI/ML platforms and solutions.

• Extensive experience with cloud data platforms, preferably Snowflake.

• Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow.

• Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc.

• Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build

• Experience with developing AI/ML use cases including communicating AI/ML strategy and business value

• Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.

• Experience in developing and deploying Machine Learning models through the full Data Science life cycle.

• Expertise in data science programming languages including Python, SQL, Scala, and/or Spark.

• Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP

• Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.

• 5+ years industry experience designing, building and supporting large-scale systems with a minimum of 3 years in a pre-sales role.

• BS/MS/PhD in Computer Science or related majors.

This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners. If you are ready to make a significant impact and drive rapid AI/ML implementation, and possess the required experience at a large System Integrator, we encourage you to apply.

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