Staff Engineer (Data Modeler)

Must have Skills : AWS Glue Metadata MGT tool Data modeling tools Semantic layer tools Knowledge graph frameworksKey ResponsibilitiesData ModelingDesign 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 & OntologiesDesign 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 DevelopmentBuild 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 & GovernanceWork 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 & StandardsEnsure models support schema evolution, partitioning strategies, and performance optimization.Create reusable modeling templates and best practices for Data Factory squads.Required Skills & ExperienceTechnical ExpertiseStrong 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).Tools & TechnologiesData 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).Soft SkillsStrong analytical and conceptual thinking.Excellent communication and stakeholder engagement abilities.Ability to work in a fast-paced environment and deliver aggressive migration targets.Strong collaboration and communication skills.Work with Jira and agile way of working.Remote WorkNoEmployment TypeFull-time#J-18808-Ljbffr