Principal Data Cloud Architect

🕒 February 18

🏄 California – Remote

🏄 California – Remote

💵 $189k - $248.1k / year

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): Unlock High-Impact Customer Journeys, Expedited POCs and RFPs, Rapid Deployment Frameworks. • SI Partner Snowflake Practice Building (Focus on Production Readiness): COE for Rapid Implementation, Accelerated Capability Maturity, Targeted Communication. • Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions): Rapid Joint Solution Development, Asset Creation for Fast Implementation, Customer Journey Alignment. • AI/ML Focused work with SI partners (Hands-On Expertise): Enable Cortex AI for gen AI journeys, Support end-to-end ML development and MLOps, Advise on unstructured data analytics, Mentor and guide junior cloud architects.

🎯 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

• Snowflake empowers enterprises through impact, innovation, and collaboration. Health insurance, retirement plans, flexible work arrangements, professional development opportunities, wellness programs.