Data Modeler

Deeplight AI

. Design conceptual, logical, and physical data models for Medallion architecture across Bronze, Silver, and Gold layers .

Posted 10/14/2026full-timeDubai • United Arab EmiratesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, semantic layer design, and knowledge graph development, with a strong focus on Lakehouse architecture and metadata management. Proven ability to collaborate with cross-functional teams and engage stakeholders effectively.

Highest-signal resume keywords

Data Modeling For LakehouseSemantic Layer DesignKnowledge Graph DevelopmentAWS GlueOpenMetadata

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingDimensional ModelingSlowly Changing Dimensions (SCD2)Metadata ManagementSchema EvolutionPerformance OptimizationOntologiesTaxonomiesValidation RulesAgile Methodologies

Soft Skills

Analytical ThinkingConceptual ThinkingStakeholder EngagementCollaborationCommunication

Tools & Technologies

Apache IcebergERwinPowerDesignerZaimlerAtScaleRDFOWLNeo4jJiraData Factory

Industry Keywords

Medallion ArchitectureFinancial Services DomainKnowledge Graph FrameworksData QualityLakehouse Metadata

Tech Stack

Tools & technologies

ApacheAWSNeo4j

About the role

Key responsibilities & impact

Design conceptual, logical, and physical data models for Medallion architecture across Bronze, Silver, and Gold layers
Implement dimensional modeling for analytical layers
Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques
Define and enforce naming conventions and metadata standards; maintain model documentation
Design and implement a semantic layer for business-friendly data access and self-service analytics
Use advanced AI tooling for semantic layer deployment and integration
Develop and maintain ontologies and taxonomies to standardize business concepts across domains
Ensure semantic consistency across data products and reporting layers
Build and maintain knowledge graphs representing relationships between entities
Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools such as OpenMetadata
Collaborate with architects and platform engineers to ensure graph scalability and performance
Work with Data Architects to align models with Lakehouse design principles
Partner with Data Engineers to ensure models are implemented in Glue and Iceberg tables
Collaborate with Data Quality teams to embed validation rules and ensure compliance
Ensure models support schema evolution, partitioning strategies, and performance optimization
Create reusable modeling templates and best practices for Data Factory squads
Present technical solutions, articulate the rationale behind technical decisions, and build trust with high-level stakeholders

Requirements

What you’ll need

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
7+ years in data modeling or data architecture roles
Experience in semantic technologies, knowledge graphs, and financial services domain is a strong plus
Experience with data modeling tools such as ERwin, PowerDesigner, or similar
Experience with semantic layer tools such as Zaimler, AtScale, or equivalent
Experience with knowledge graph frameworks such as RDF, OWL, Neo4j, or similar
Analytical and conceptual thinking
Communicating and stakeholder engagement abilities
Ability to work in a fast-paced environment and deliver aggressive migration targets
Collaboration and communication with different levels of stakeholders
Experience working with Jira and agile ways of working

Benefits

Comp & perks

Competitive salary and performance bonuses
Comprehensive health insurance
Professional development and certification support
Opportunity to work on cutting-edge AI projects
Flexible working arrangements
Career advancement opportunities in a rapidly growing AI company