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Snowflake logo
Snowflake

Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.

Solutions Architect

Solutions EngineerSolutions EngineerOtherRemoteSeniorTeam 5,001-10,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

New Hampshire + 4 moreAll locations: New Hampshire | North Carolina | Massachusetts | Vermont | Virginia

Posted

117 days ago

Salary

$136K - $178.5K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishETLGreenplumJavaPythonApache SparkSQL

Job Description

Solutions Architect

Snowflake

• Directly engage with customers individually or as part of a technical delivery team • Oversee and advise on the implementation of the customers Snowflake platform • Demonstrate technical leadership through personally developed code, solution architectures and implementation recommendations • Provide customers with standard practices and advise as it relates to AI/ML workloads in Snowflake • Act as a trusted advisor to customer executive leadership 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 • Decompose future state goals into actionable execution plans • Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals • Coach and guide customers on how to best use Snowflake’s suite of AI Tools

Job Requirements

  • BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
  • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
  • 3 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 complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
  • Familiarity with AI/ML and Transformation technologies
  • Familiarity with ML Ops standard practices
  • Familiarity with industry common BI and ETL solutions
  • Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
  • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
  • Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
  • Familiarity with prompt engineering techniques.

Benefits

  • Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.

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