S

Snowflake

Runs a cloud platform for business data and AI

Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in IsraelNo salary listedRemote

About the Job

Requirements

  • A Bachelor of Arts or Bachelor of Science in computer science, engineering, mathematics, or related fields, or equivalent practical experience.
  • Three years of technical consulting experience.
  • Experience in a lead role for analytics projects for large enterprises.
  • Experience implementing and operating Snowflake-centric solutions.
  • Understanding of the complete data analytics stack and workflow, from extract, transform, and load to data platform design, business intelligence, and analytics tools.
  • Deep understanding of the complete artificial intelligence and machine learning lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring.
  • Familiarity with artificial intelligence, machine learning, and transformation technologies.
  • Hands-on experience with modern machine learning operations tools and frameworks for deploying, managing, and governing machine learning models at scale.
  • Proven experience developing generative artificial intelligence and large language model use cases.
  • Familiarity with common industry business intelligence and extract, transform, and load solutions.
  • Hands-on experience in a technical role leveraging SQL and Python, and optionally Java or Spark, to build, operate, and maintain data analytics solutions.
  • Extensive knowledge of and experience with large-scale database technology such as Snowflake, Netezza, Exadata, Teradata, or Greenplum.
  • Proficiency in implementing data security measures and access controls, and designing specifically within the Snowflake platform.
  • Familiarity with prompt engineering techniques.

Responsibilities

  • Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches.
  • Extract business requirements from customers and translate them into a well-architected recommendation.
  • Develop and provide forward-looking guidance and future-state roadmaps.
  • Leverage known best practices and solutions to reduce risk to customer implementations.
  • Collaborate with go-to-market teams and product teams to ensure customer alignment with Snowflake goals.
  • Oversee and advise on the implementation of the customer’s Snowflake platform.
  • Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations.
  • Design, prototype, and implement end-to-end artificial intelligence and machine learning solutions on the Snowflake platform, ensuring scalability and performance.
  • Provide customers with standard practices and advice related to artificial intelligence and machine learning workloads in Snowflake.
  • Define and advise on machine learning operations standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment.
  • Drive adoption of Snowflake’s artificial intelligence product suite, including Cortex, Streamlit in Snowflake, and Snowflake Intelligence, within customer solutions.
  • Replatform artificial intelligence and machine learning workloads to Snowflake in line with business and operational requirements.
  • Coach and guide customers on how best to leverage Snowflake’s artificial intelligence product suite to unlock new business value.

Desired Qualifications

  • Hands-on experience or significant familiarity with building and managing artificial intelligence and machine learning workloads.
  • At least five years of experience as a solutions architect, data architect, database administrator, or data engineer.
  • Experience in the services organization of a product company.
  • Experience in a leadership position executing technical projects.
  • Application development experience.
  • Amazon Web Services, Google Cloud, or Microsoft cloud certifications.
  • Snowflake SnowPro Advanced certifications.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

Recently Posted Jobs

Explore more opportunities at Snowflake

See more jobs