Staff Engineer; Data Modeler

Company Description

Company Description
The content is provided for context. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 37+ countries, forming a Nation of Nagarrians, ready to help our customers succeed. The nature of IT & digital product engineering has reached an incredible state of velocity and transition.

We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology & business are heading. Thinking breakthroughs gets us there.

The role description may include a company website link:
Nagarro -

Must have Skills
: AWS Glue, Metadata MGT tool, Data modeling tools, Semantic layer tools, Knowledge graph frameworks

• 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., Open Metadata).
• 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.

• 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 (Open Metadata preferred).

• Data modeling tools (ERwin, Power Designer, or similar).
• Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).
• Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).

• Strong 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.