Data Modeler

DeepLight · Dubai

Hybrid: DubaiFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Design conceptual, logical, and physical data models for Medallion architecture
  • Implement dimensional modeling and Slowly Changing Dimensions (SCD2)
  • Design and implement semantic layers and ontologies to standardize business concepts
  • Build and maintain knowledge graphs to represent entity relationships
  • Collaborate with Data Architects and Engineers to align models with Lakehouse design principles
  • Ensure models support schema evolution, partitioning, and performance optimization
  • Communicate technical decisions and vision to high-level stakeholders

Requirements

  • 7+ years in data modeling or data architecture roles
  • Strong experience in data modeling for Lakehouse or data warehouse environments
  • Proficiency in semantic layer design, ontologies, and knowledge graph development
  • Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture
  • Understanding of metadata management and lineage tools (OpenMetadata preferred)
  • Experience with data modeling tools like ERwin or PowerDesigner
  • Experience with knowledge graph frameworks such as RDF, OWL, or Neo4j
  • Ability to work in fast-paced environments using Jira and Agile methodologies

Preferred Qualifications

  • Experience in semantic technologies and knowledge graphs
  • Domain expertise in financial services
  • Experience with semantic layer tools like Zaimler or AtScale

About the Company

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking.

Skills & tools

Data ModelingAWS GlueApache IcebergKnowledge GraphOntology

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017+ years in data modeling or architecture
  2. 02Experience with Lakehouse or data warehouse environments
  3. 03Proficiency in semantic layer design and ontologies
  4. 04Familiarity with AWS Glue and Apache Iceberg
  5. 05Knowledge of metadata management tools
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