other
Posted Jun 23Senior Data Cloud Architect - SI Partners
at Snowflake
Remote
Requirements
- 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 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.
- 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.
- - 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.
- Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Benefits
- 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
Contact
- benefits information: careers.snowflake.com http://careers.snowflake.com
Additional details
- At Snowflake, we are powering the era of the agentic enterprise.
- 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.
- AS A SENIOR DATA CLOUD ARCHITECT - SI PARTNERS, YOU WILL PERFORM: 1.
- - 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.
- It is every employee's duty to keep customer information secure and confidential.
- 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.