Data Modeller

Data Modeler

Job Description

We are looking for an experienced Data Modeler to support the design and delivery of enterprise

data models across business domains such as Finance, Sales, Retail, Supply Chain, Product,

Customer, and Digital Commerce.

The role will focus on translating business requirements into high-quality conceptual, logical,

physical, and semantic data models. The Data Modeler will work closely with Data Architects,

Product Owners, Business Analysts, Data Engineers, BI developers, and business stakeholders to

ensure that data structures are consistent, scalable, governed, and fit for analytical consumption.

The ideal candidate has strong experience in enterprise data modeling, dimensional modeling,

lakehouse or data warehouse environments, and modern analytics platforms such as Databricks or

similar technologies.

Key Responsibilities

• Data Modeling

• Create and maintain conceptual, logical, and physical data models
• Design entities, attributes, relationships, hierarchies, keys, and cardinalities.

• Develop dimensional models, including facts, dimensions, bridge tables, slowly

changing dimensions, and aggregation structures.

• Define and document business entities such as Customer, Product, Store, Order,

Transaction, Supplier, Account, and similar core business concepts.

• Support the design of reusable and conformed data models across domains and data

products.

• Semantic and Analytical Modeling

• Design models optimized for analytics, reporting, and BI consumption.
• Define business metrics, measures, dimensions, hierarchies, and calculation logic.
• Support semantic layer design for tools such as Power BI, Databricks SQL, Databricks

Metric Views, or similar platforms.

• Ensure consistent business definitions for KPIs and analytical measures.
• Collaborate with BI teams to ensure models are usable, performant, and

understandable for reporting consumers.

• Source-to-Target Mapping

• Analyze source system structures and map them to target data models.
• Create and maintain source-to-target mappings, including transformation logic and

business rules.

• Identify gaps, inconsistencies, duplicate structures, and data quality issues in source

systems.

• Work with Data Engineers to translate mappings into implementation-ready pipeline

logic.

• Support validation of implemented data models against business and technical

requirements.

Skills

• Technical Skills:

• Strong knowledge of data modeling methodologies: Conceptual, logical, physical,

dimensional

• Strong SQL skills
• Understanding of database and lakehouse concepts: tables, views, keys, constraints,

partitioning, clustering, delta tables, schema evolution

• Experience with cloud data platforms, ideally Databricks
• Understanding of BI and semantic modeling concepts: Semantic layers, Metrics

layers, DatabricksSQL, PowerBI

• Soft Skills:

• Strong analytical thinking and attention to detail.
• Ability to understand complex business processes and translate them into data

structures.

• Strong communication skills with both business and technical stakeholders.
• Structured and documentation-oriented working style.
• Ability to challenge unclear requirements and identify inconsistencies.
• Collaborative mindset and willingness to work across teams.
• Ability to work independently as an external consultant.