Principal Data Cloud Architect

This is a fully remote position, open to applicants in California.

📋 Description

• Strategic alignment with top accounts for System Integrator (SI) partners

• Identify and prioritize customer journeys in AI/ML for leading SI partner accounts

• Offer support to partners throughout the RFI/RFP processes and proof of concepts (POCs)

• Develop and disseminate best practices and frameworks for POCs

• Collaborate in the creation and management of Partner Snowflake Centers of Excellence (COE)

• Enhance partner capabilities maturity across each AI/ML product category

• Conduct public webinars and present product roadmap sessions

• Construct or replatform Partner-led Joint Industry Solutions focused on AI/ML

• Aid partners in creating assets for AI/ML product categories

• Align AI/ML customer journeys with Partner Solutions and Offerings

• Empower partners to utilize Cortex AI for generative AI customer journeys

• Assist partners in executing end-to-end machine learning development and MLOps

• Advise partners on leveraging Cortex AI for unstructured data analytics

• Mentor and guide junior cloud architects in significant AI/ML engagements

⛳️ Requirements

• Experience in a large System Integrator (SI) environment

• Understanding of competing AI/ML platforms and solutions

• Comprehensive experience with cloud data platforms, preferably Snowflake

• Practical experience with Cloud ML platforms (Sagemaker, Azure ML, VertexAI, MLFlow)

• Proven experience in building and deploying ML model pipelines using serverless and containerized computing (AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes)

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

• Experience in developing AI/ML use cases and articulating AI/ML strategy and business value

• Background in Big Data or Cloud integration technologies (Matillion, Azure Data Factory, AWS Glue, AWS Lambda)

• Experience in developing and deploying Machine Learning models throughout the complete Data Science life cycle

• Proficiency in data science programming languages (Python, SQL, Scala, Spark)

• Strong familiarity with major cloud platforms (Azure, AWS, GCP)

• Solid understanding of computer science fundamentals (data structures, algorithms, distributed systems)

• Over 10 years of industry experience

• BS/MS/PhD in Computer Science or related fields

🏝️ Benefits

• Medical, dental, vision, life, and disability insurance

• 401(k) retirement plan

• Flexible spending and health savings account

• At least 12 paid holidays

• Paid time off

• Parental leave

• Employee assistance program

• Additional company benefits