Snowflake · 18 hours ago
Senior Data Cloud Architect - SI Partners
United States
Full-time
Remote
Senior Level, Lead/Staff
$165K/yr - $217K/yr
10+ years expSnowflake is about empowering enterprises to achieve their full potential — and people too. The Principal Data Cloud Architect - SI Partners will join the Partner Solution Engineering team to empower System Integrator partners in achieving technical wins and successful deployments of AI/ML solutions on the Snowflake AI Data Cloud.
Artificial Intelligence (AI)Big DataCloud ComputingEnterprise SoftwareAI InfrastructureAnalyticsCloud Data ServicesCloud SecurityData IntegrationData ManagementMachine Learning
Responsibilities
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
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
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
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
Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions
Qualification
Required
Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments
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
10+ years industry experience designing, building and supporting large-scale systems with a minimum of 5 years in a pre-sales role
BS/MS/PhD in Computer Science or related majors
Preferred
Knowledge of competitive AI/ML platforms and solutions
Company
Snowflake
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.
5001-10000 employees
H1B Sponsorship
Snowflake has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
81%
Represents job field similar to this job
Engineering and Development
Product Management
Sales
Management and Executive
Accounting and Finance
Customer Service and Support
Legal and Compliance
Marketing
Education and Training
Trends of Total Sponsorships
*2026 (216)
2025 (405)
2024 (265)
2023 (154)
2022 (182)
2021 (113)
2020 (98)
Funding
Current Stage
Public CompanyTotal Funding
$2.41BKey Investors
Dragoneer Investment Group,Global Secure Invest,Salesforce VenturesSequoia CapitalAltimeter Capital,ICONIQ Growth,Sequoia Capital
2026-02-02Post Ipo Equity· $376.1M
2022-04-19Post Ipo Equity· $621.46M
2020-09-16IPO
Leadership Team
Sridhar Ramaswamy
Chief Executive Officer
Benoit Dageville
Snowflake Co-founder, President of Product
Recent News
2026-07-16
2026-07-16
2026-07-15
Company data provided by crunchbase