Data Cloud Architect, Data Science | Snowflake | $177k-$246k | Remote (US)

Data Cloud Architect, Data Science | Snowflake | $177k-$246k | Remote (US)

177,000 - 246,000 / year
Remote US
Application ends: August 17, 2024
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Job Description

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Snowflake is rapidly growing our Systems Integrators Go To Market Initiatives . Systems Integrators are an integral part of Snowflake business to help customers unlock Power of Snowflake Data Cloud . We are looking for a self-driven, go-getter to help grow these SI’s into profitable revenue streams and accelerate the growth of the business. 

Success in this position requires the candidate to be a ninja at managing relationships, execute programs, set goals and metrics, track and ensure progress. The candidate will also need help shape and deliver on a strategy to build mind share among Snowflake SI Partners.

We are seeking a candidate with a proven track record of successfully working with large SI  partners (it’s easy when everything is going fine) and strong business acumen in growing a business/ channel/ partnership. Candidate with knowledge on broader Platform ecosystem , products, competition  to influence and be the partner’s  trusted advisor 


  • Help  Solution Providers/Practice Leads with the technical strategies that enables them to sell their offerings on Snowflake
  • Forward Strategic thinking –  quickly grasp the essence of new concepts and business value messaging 
  • Strong understanding of how SI make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services
  • Help develop and launch joint differentiated solution offerings with SI Partners
  • Conversations with other technologists, providing presentations at the C-level.
  • Forward Strategic thinking –  quickly grasp the essence of new concepts and business value messaging


  • Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community
  • 5+ years industry experience designing, building and supporting large-scale systems with a minimum of 3 years in a pre-sales role
  • Expertise and hands-on experience in developing and deploying Machine Learning models through the full Data Science life cycle (data wrangling, feature engineering, model development, model deployment and monitoring).
  • Experience building ML models using machine learning frameworks and libraries such as scikit-learn.
  • Expertise in data science programming languages including Python, SQL, Scala, and/or Spark.
  • 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 with database technologies 
  • Strong experience with major cloud platforms and tooling, especially Azure or AWS, or Google Cloud
  • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.
  • Fluency in multiple programming languages is a big plus.
  • Experience working with cross teams and product managers.
  • BS/MS/PhD in Computer Science or related majors.


We have a diverse team across the globe with different set skills , experience and tenureship. We have a team who celebrates the upleveling of their colleagues  in Knowledge across all areas and see you being successful with your Partners.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.