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Snowflake

Runs a cloud platform for business data and AI

Principal Solutions Architect - Migrations

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$166k - $218.4k /yrIn-person

About the Job

Requirements

  • At least 7 years of experience working with customers in a pre-sales or post-sales technical role, preferably as a solutions architect.
  • Experience migrating from one data platform to another and addressing the challenges of migrating to a new platform.
  • Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, and Exadata.
  • End-to-end experience migrating on-premises data warehouse solutions to the cloud, including AWS, Azure, or GCP.
  • Skills presenting to technical and executive audiences, including impromptu whiteboarding and presentations and demos.
  • Understanding of the complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
  • Extensive hands-on expertise with SQL, SQL analytics, and scripting languages such as Python, Bash, and Shell.
  • A university degree in computer science, engineering, mathematics, or a related field, or equivalent experience.

Responsibilities

  • Design comprehensive migration plans and solutions tailored to customer needs and architecture, ensuring a seamless transition to Snowflake.
  • Partner with customers as the technical expert for all aspects of Snowflake during implementation.
  • Deploy Snowflake according to best practices and transfer knowledge so customers can use and extend Snowflake independently.
  • Maintain a deep understanding of competitive and complementary technologies and vendors, and how to position Snowflake in relation to them.
  • Work with system integrator consultants at a deep technical level to position and deploy Snowflake successfully in customer environments.
  • Create presentations and document project learnings; develop utilities and accelerators to streamline migration and related activities.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake products and marketing.

Desired Qualifications

  • Three years of technical consulting experience.
  • Experience with non-relational platforms and tools for large-scale data processing, such as Hadoop and HBase.
  • Familiarity and experience with common BI and data exploration tools, such as Power BI, MicroStrategy, Business Objects, and Tableau.
  • Experience and understanding of large-scale infrastructure-as-a-service platforms, such as Amazon AWS, Microsoft Azure, GCP, and OpenStack.
  • Experience implementing ETL pipelines using custom and packaged tools, and software development experience using C/C++ and Java.

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

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