Full-Time

Solutions Architect

Snowflake

Snowflake

5,001-10,000 employees

Data warehouse for the cloud

Data & Analytics

Senior, Expert

Remote in USA

Required Skills
Microsoft Azure
Python
Jupyter
Data Science
Tensorflow
Pytorch
SQL
Java
AWS
Pandas
Scala
Google Cloud Platform
Requirements
  • Minimum 10 years experience working with customers in a pre-sales or post-sales technical role.
  • Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
  • Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
  • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
  • Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks,
  • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
  • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
  • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience
Responsibilities
  • Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
  • Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake
  • Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements.
  • Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload.
  • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
  • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
  • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
  • Provide guidance on how to resolve customer-specific technical challenges.
  • Support other members of the Professional Services team develop their expertise.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Company Stage

N/A

Total Funding

$2.5B

Headquarters

,

Founded

2012

Growth & Insights
Headcount

6 month growth

2%

1 year growth

17%

2 year growth

65%

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.