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.
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.
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.
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.
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. By sharing expertise and providing hands-on guidance, the Principal Data Cloud Architect will empower the junior team members to effectively support SI partners in deploying successful AI/ML solutions on the Snowflake AI Data Cloud.

Requirements

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.
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.

Benefits

No benefits listed

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/MLMLOpsCloud ML platformsMachine Learning model pipelinesData Science life cycleData science programming languagesBig Data technologiesCloud integration technologiesServerless computingContainerized computing

Soft Skills

Strategic account alignmentTargeted communicationMentoringCollaborationPresentation skillsCustomer journey analysisProblem-solvingHands-on expertiseLeadershipProject implementation

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer Science