Senior Data Cloud Architect – SI Partners
| Company | Snowflake |
|---|---|
| Location | Oakland, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 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.
- 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.
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.
Preferred Qualifications
- Knowledge of competitive AI/ML platforms and solutions.