Descrição do trabalho
- Responsibilities
- Define and maintain canonical domain entities such as suppliers, contracts, risks and obligations
- Build semantic datasets that reflect real workflows and business logic
- Model relationships, hierarchies and time-based changes explicitly
- Ensure consistent definitions across products, analytics and automation
- Design patterns for linking documents to structured entities
- Support gradual evolution toward graph-based and retrieval-driven use cases
- Collaborate with Product, AI and Engineering teams to align data with system behavior
- Help remove duplicated and inconsistent logic from dashboards and downstream tools
- What you will work with
- Semantic layers built on top of lakehouse data
- Domain-oriented datasets and views
- Relationship-aware modelling patterns
- Metadata, classification and descriptive attributes
- Consumers including applications, analytics and automated workflows
- Requirements
- Experience with semantic or analytics engineering concepts
- Strong understanding of domain modelling and data relationships
- Ability to translate complex business processes into structured data
- Comfort collaborating across product and engineering teams
- Clear communication and attention to consistency and correctness
- Interest in enabling automation and reasoning through better data design