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8 часов назад

Lead Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (AI): Designing, building, and managing data pipelines and AI solutions from concept through operationalization with an accent on ELT, cloud data platforms, and LLM-based agents. Focus on developing production-ready data and AI services, implementing CI/CD, infrastructure as code, observability, RAG, vector search, and performance scaling.

Location: Atlanta Support Center, United States; expected on-site presence of 80%

Company

hirify.global is a multi-brand restaurant company operating more than 33,300 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide.

What you will do

  • Lead and mentor multiple data engineering team members while setting engineering standards and best practices.
  • Design, build, deploy, maintain, and document data platforms, services, pipelines, and processes for ingestion, transformation, storage, distribution, management, and quality.
  • Design and operationalize AI solutions, including generative AI and agentic AI systems, from proof of concept through production support.
  • Implement infrastructure as code, automated testing, CI/CD, observability, monitoring, and scalable service architectures.
  • Collaborate with product owners, architects, data modelers, and engineering teams to translate business needs into data and AI solutions.
  • Lead technical sessions, solve engineering challenges, and present data engineering practices across the organization.

Requirements

  • 8+ years of experience in data engineering.
  • 5+ years of experience with advanced SQL, including analytical functions, scripts, stored procedures, materialized views, and database views.
  • 5+ years of hands-on ELT design and development focused on loading and transforming data in databases.
  • 3+ years of experience using DevOps models and CI/CD tools.
  • Hands-on Python experience and experience with at least one cloud platform; Azure Cloud Platform, including ADLS and Blob, is preferred.
  • Strong knowledge of LLM agents, prompt engineering, RAG, document processing, vector and hybrid search, guardrails, observability, monitoring, and LLM evaluation.

Nice to have

  • Snowflake experience.
  • Experience with Informatica, Talend, or Azure Data Factory.
  • Experience with Tableau.

Culture & Benefits

  • Full-time position based at the Atlanta Support Center.
  • Emphasis on engineering craftsmanship, mentoring, technical leadership, and continuous improvement.
  • Agile collaboration across product, architecture, data modeling, and engineering teams.
  • Opportunity to integrate emerging AI technologies while balancing operational pragmatism.

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