Назад
Company hidden
обновлено 12 дней назад

Data Modeler (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Modeler (AI) (Lakehouse/Semantic Data): Designing scalable data models, semantic layers, ontologies, and knowledge graphs for enterprise AI and data ecosystems with an accent on Medallion architecture, metadata, lineage, and interoperability. Focus on implementing models in AWS Glue and Apache Iceberg, optimizing schema evolution and graph performance, and communicating technical solutions to senior stakeholders.

Location: Hybrid in Dubai or Abu Dhabi, United Arab Emirates

Company

hirify.global is an AI and data consultancy that implements intelligent enterprise systems, with particular expertise in financial services and banking.

What you will do

  • Design conceptual, logical, and physical data models for Bronze, Silver, and Gold layers in Lakehouse and Medallion architectures.
  • Implement dimensional models, Slowly Changing Dimensions Type 2, historical tracking, naming conventions, metadata standards, and documentation.
  • Design semantic layers, ontologies, and taxonomies that support business-friendly data access, self-service analytics, and semantic consistency.
  • Build knowledge graphs and integrate them with Lakehouse metadata and lineage tools such as OpenMetadata.
  • Collaborate with Data Architects, Data Engineers, and Data Quality teams to implement models in AWS Glue and Apache Iceberg tables and embed validation rules.
  • Develop reusable modeling templates and optimize models for schema evolution, partitioning, scalability, and performance.

Requirements

  • 7+ years of experience in data modeling or data architecture roles.
  • Strong experience with data modeling in Lakehouse or data warehouse environments.
  • Experience designing semantic layers, ontologies, taxonomies, and knowledge graphs.
  • Familiarity with AWS Glue, Apache Iceberg, Medallion architecture, metadata management, and lineage tools.
  • Experience with data modeling tools such as ERwin or PowerDesigner, semantic layer tools, and knowledge graph frameworks including RDF, OWL, or Neo4j.
  • Strong analytical, communication, stakeholder engagement, collaboration, and agile working skills, including Jira experience.

Nice to have

  • Experience with OpenMetadata or equivalent metadata and lineage tools.
  • Experience in semantic technologies, knowledge graphs, or the financial services domain.

Culture & Benefits

  • Flexible hybrid working arrangements.
  • Competitive salary and performance bonuses.
  • Comprehensive health insurance.
  • Professional development and certification support.
  • Opportunities to work on advanced AI projects and progress within a growing AI consultancy.
  • Inclusive working environment with support for accessible and predictable application and interview processes.

Hiring process

  • The application and interview process is designed to be accessible, predictable, and fair.
  • Reasonable adjustments are available during the application and interview stages upon request.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →