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1 день назад

Principal Data Engineer (AI)

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

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TL;DR

Principal Data Engineer (AI) (Enterprise Data Platforms): Designing, developing, and supporting enterprise data architectures, databases, integrations, and cloud data services with an accent on data modeling, governance, quality, and performance optimization. Focus on building scalable data platforms, modernizing cloud architectures, integrating AI-ready data services, and solving complex migration, security, and reliability challenges.

Location: Onsite in Tallahassee, Florida

Company

hirify.global is a technology and professional services firm established in 2004 that delivers innovative technology solutions and services to clients nationwide.

What you will do

  • Design and maintain enterprise data architectures, logical and physical data models, governance frameworks, and data lifecycle processes.
  • Develop, administer, secure, and optimize MySQL, Oracle, SQL Server, Azure SQL, and related database environments.
  • Build data quality controls, profiling, validation, cleansing, reconciliation, and monitoring processes.
  • Design and support ETL/ELT pipelines, APIs, middleware integrations, data migration, conversion, and synchronization initiatives.
  • Design and optimize data lakes, warehouses, cloud databases, and analytics platforms across Azure, AWS, and Oracle Cloud.
  • Support AI, machine learning, generative AI, LLM, RAG, vector database, and intelligent document processing initiatives.

Requirements

  • 7+ years of experience as a senior data architect or data engineer.
  • Strong experience with enterprise data architecture, data modeling, and data management.
  • Extensive experience with MySQL, Oracle, SQL development, database administration, and performance tuning.
  • Experience with data quality management, governance, ETL/ELT, data migration, enterprise integration, and API development.
  • Experience with Azure DevOps, GitHub, Oracle SQL Developer, or comparable tools.
  • Knowledge of database security, access controls, compliance requirements, and strong written and verbal communication skills.

Nice to have

  • Experience with Microsoft SQL Server, Azure SQL, AWS, Azure, and Oracle Cloud services.
  • Experience implementing enterprise data warehouses, data lakes, cloud-native data architectures, NoSQL databases, and vector databases.
  • Experience supporting AI/ML, generative AI, RAG initiatives, and large-scale enterprise data migration programs.

Culture & Benefits

  • Work onsite in Tallahassee, Florida.
  • Contribute to technology projects supporting clients nationwide.
  • Work with modern cloud, analytics, database, and AI technologies.

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