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Deeplight

Coherent, compact lasers for space LiDAR

Data Modeler

Data ManagementConfirmed live in the last 24 hours
Full-timeDubai - United Arab EmiratesHybrid

About the Job

Requirements

  • 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.
  • Seven or more years in data modeling or data architecture roles.
  • Experience with data modeling tools such as ERwin, PowerDesigner, or similar tools.
  • Experience with semantic layer tools such as Zaimler, AtScale, or equivalent tools.
  • Experience with knowledge graph frameworks such as RDF, OWL, Neo4j, or similar frameworks.
  • Ability to work with Jira and agile methods.

Responsibilities

  • Design conceptual, logical, and physical data models for Bronze, Silver, and Gold layers in a Medallion architecture.
  • Implement dimensional modeling for analytical layers.
  • Apply Slowly Changing Dimensions Type 2 and historical tracking techniques.
  • Define and enforce naming conventions and metadata standards, and maintain model documentation.
  • Design and implement a semantic layer for business-friendly data access and self-service analytics.
  • Use 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 to represent entity relationships and enable data discovery.
  • 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 correctly in AWS Glue and Apache 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 decisions and solutions to high-level stakeholders and build trust in the firm's recommendations.

Desired Qualifications

  • Experience with metadata management and lineage tools; OpenMetadata is preferred.
  • Experience in semantic technologies, knowledge graphs, and the financial services domain.
  • Analytical and conceptual thinking.
  • Ability to communicate effectively and engage stakeholders at different levels.
  • Ability to work in a fast-paced environment and deliver aggressive migration targets.

About the Company

Deeplight

Coherent, compact lasers for space LiDAR

DeepLight develops highly coherent, compact lasers tailored for space research and laser technology applications. Its lasers span the visible and near-infrared spectrum and feature exceptional frequency agility to support advanced applications, including long-range coherent LiDAR. The products rely on a combination of compact light sources and integrated photonics, including MEMS-based ultrafast acousto-optic modulation, enabling fast, precise control of laser light. Unlike many competitors, DeepLight emphasizes tight coherence, high linearity, and integration with MEMS for rapid modulation, supported by collaborations with major space agencies like the European Space Agency and revenue streams from technology sales and tech-transfer funding. The company's goal is to commercialize its laser technology for space research, communication protocols, and fibre sensing, accelerating the deployment of next-generation laser sources in science and industry.

Company size
11-50
Company stage
Debt Financing
Total funding
$90K
Headquarters
Saint-Sulpice, Switzerland
Founded
2021

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