Role Description

Must have Skills : AWS Glue, Metadata MGT tool, Data modeling tools, Semantic layer tools, Knowledge graph frameworks Key Responsibilities Data Modeling o Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers). o Implement dimensional modeling for analytical layers. o Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques. o Define and enforce naming conventions, metadata standards, and maintain model documentation. Semantic Layer & Ontologies o Design and implement a semantic layer to enable business-friendly data access and self-service analytics. o Work with advanced AI-tooling for semantic layer deployment and integration. o Develop and maintain ontologies and taxonomies to standardize business concepts across domains. o Ensure semantic consistency across data products and reporting layers. Knowledge Graph Development o Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery. o Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata). o Collaborate with architects and platform engineers to ensure graph scalability and performance. Collaboration & Governance o Work closely with Data Architects to align models with Lakehouse design principles. o Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables. o Collaborate with Data Quality teams to embed validation rules and ensure compliance. Optimization & Standards o Ensure models support schema evolution, partitioning strategies, and performance optimization. o Create reusable modeling templates and best practices for Data Factory squads. Required Skills & Experience Technical Expertise o Strong experience in data modeling for Lakehouse or data warehouse environments. o Proficiency in semantic layer design, ontologies, and knowledge graph development. o Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture. o Understanding of metadata management and lineage tools (OpenMetadata preferred). Tools & Technologies o Data modeling tools (ERwin, PowerDesigner, or similar). o Semantic layer tools (e.g., Zaimler, AtScale, or equivalent). o Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar). Soft Skills o Strong analytical and conceptual thinking. o Excellent communication and stakeholder engagement abilities. o Ability to work in a fast-paced environment and deliver aggressive migration targets. o Strong collaboration and communication skills. o Work with Jira and agile way of working.