About the Role
We are seeking a Data Modeler to spearhead the modernization 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.
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Responsibilities
As the Data Modeler, your responsibilities 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.
- Optimization & Standards
- Ensure models support schema evolution, partitioning strategies, and performance optimization.
- Create reusable modeling templates and best practices for Data Factory squads.
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 delivering aggressive migration targets.
- Collaborating and communicating with different levels of stakeholders.
- Working with Jira and agile way of working.
Benefits & Growth Opportunities
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.
- 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
At our company, we recognize 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 specialized 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.
