Data Modeler
DeepLight AI is hiring a Data Modeler in Dubai and Abu Dhabi, United Arab Emirates. Level rates it ; you can apply on DeepLight AI.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Openmetadata, Apache Iceberg and AWS Glue.
- Level classifies it as a senior role.
- Level lists 10 other open roles at DeepLight AI.
- The role was posted within the past two weeks.
AI in this role
Data Modeler needed to design enterprise data models, semantic layers, and knowledge graphs within Lakehouse architectures.
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. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Are you a data visionary who thrives at the intersection of complex architecture and strategic business value?
We are seeking a Data Modeler to spearhead the modernisation of enterprise data ecosystems. This is a high-impact consultancy role designed for an expert who can bridge the gap between low-level data engineering and high-level decision intelligence.
Your primary objective will be to design and implement scalable data models and semantic layers within Lakehouse architectures. You will go beyond traditional warehousing to build the "connective tissue" of the enterprise—designing robust Knowledge Graphs and Ontologies that enable seamless interoperability and advanced data discovery.
Your responsibilities as the Data Modeler will include:
- Data Modeling
- Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).
- Implement dimensional modeling for analytical layers.
- Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.
- Define and enforce naming conventions, metadata standards, and maintain model documentation.
- Semantic Layer & Ontologies
- Design and implement a semantic layer to enable business-friendly data access and self-service analytics.
- Work with 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.
- Knowledge Graph Development
- Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.
- Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata).
- Collaborate with architects and platform engineers to ensure graph scalability and performance.
- Collaboration & Governance
- Work closely with Data Architects to align models with Lakehouse design principles.
- Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.
- Collaborate with Data Quality teams to embed validation rules and ensure compliance.
- Optimisation & Standards
- Ensure models support schema evolution, partitioning strategies, and performance optimisation.
- Create reusable modeling templates and best practices for Data Factory squads.
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:
- 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.
You will also have experience in:
- Data modeling tools (ERwin, PowerDesigner, or similar).
- Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).
- Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).
- Analytical and conceptual thinking.
- communicating and stakeholder engagement abilities.
- working in a fast-paced environment and deliver aggressive migration targets.
- collaborating and communication with different levels of stakeholders.
- working with Jira and agile way of working.
Benefits
Benefits & Growth Opportunities:
· 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
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.
How we rate this
Data Modeler at DeepLight AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where knowledge graphs was part of your work. What did you do?
- Tell me about a project where semantic layer was part of your work. What did you do?
- Tell me about a project where lakehouse was part of your work. What did you do?
- Tell me about a project where ontologies was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Modeling, Knowledge Graphs, Semantic Layer, Lakehouse, and Ontologies. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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