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.

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.

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Principal Data Cloud Architect

Key skills