Data & Ai Architect

Gerber Collision & Glass

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$145,000 - $160,000 / year; bonus opportunities ti...
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Define ai & data strategy
Develop ai/data roadmap
Design generative ai patterns
** Gerber Collision & Glass is seeking a Data & AI Architect to enhance their AI capabilities and optimize their data ecosystem. The role involves collaborating with various stakeholders to define architecture patterns and implement AI solutions, with a focus on data strategy and governance. **

Job Summary

  • This role focuses on defining and implementing foundational elements for AI adoption, including architecture patterns, tooling, process & governance.
  • The AI & Data Architect will be a key contributor to the broad architecture of high-performance Data & BI platforms and solutions, ensuring Data platforms are key enablers of AI adoption journey.
  • Gerber offers comprehensive benefits including PTO, parental leave, medical insurance, 401(k) with match, and continuing education opportunities.

Matching Summary

Match Score: 75

** Gerber Collision & Glass is seeking a Data & AI Architect to enhance their AI capabilities and optimize their data ecosystem. The role involves collaborating with various stakeholders to define architecture patterns and implement AI solutions, with a focus on data strategy and governance. **

Salary

$145,000 - $160,000 / Year; Bonus opportunities tied to individual or business initiatives; Comprehensive benefits package

Skills & Requirements

Must-have

  • Define AI & Data Strategy
  • Develop AI/Data Roadmap
  • Design Generative AI Patterns
  • Explore AI in Software Lifecycle
  • Define Modern Data Stack
  • Design Scalable ETL/ELT Pipelines
  • AWS Data Stack proficiency
  • Python and SQL proficiency

Nice-to-have

  • Awareness of top AI solution providers
  • Familiarity with AI-driven SDLC enhancements
  • Understanding of natural language programming
  • Knowledge of Snowflake, Databricks, or Azure Data Lake
  • Knowledge of Power BI, Tableau, or Qlik

Key Requirements

  • 2-3 years of hands-on AI/ML experience
  • 5+ years of data architecture or engineering experience
  • Proficiency in AWS Data Stack, Python, and SQL
  • Ability to work collaboratively with engineering and business stakeholders

Work Rights

Not specified

Tailored Resume

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