More jobs:
Job Description & How to Apply Below
Key Responsibilities
● Design conceptual, logical and physical data models for enterprise data onboarding
and analytics use cases.
● Define modelling patterns for Fabric Lakehouse, Fabric Warehouse and Power BI
semantic consumption.
● Support the implementation of bronze, silver and gold data layers using Medallion
Architecture principles.
● Design conformed dimensions, fact tables, reference data structures, master data
views and analytics-ready datasets.
● Define model grain, business keys, surrogate keys, relationships, hierarchies and
history handling.
● Create source-to-target mappings and work with engineers to turn modelling
designs into working data assets.
● Help define reusable Silver-layer datasets that are more than cleansed copies of
source systems.
● Design Gold-layer models around reporting, KPIs, business questions and decision
- making needs.
● Work with domain teams to understand business processes, data ownership, key
metrics and analytical requirements.
● Support Power BI semantic model design by ensuring data structures are clear,
performant and business-friendly.
● Document business definitions, model assumptions, lineage, data quality rules and
known limitations.
● Work with governance teams to align models with naming standards, glossary
terms, metadata and access requirements.
● Participate in architecture reviews, data model reviews and discussions around
shared enterprise definitions.
● Help reduce duplicated reporting datasets and inconsistent KPI logic across the
organization.
Ideal Candidate
Strong Senior Data Modeller profile (Microsoft Fabric / Medallion Architecture)
Mandatory (Experience
1) – Must have 6+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms.
Mandatory (Experience
2) – Must have hands-on experience designing data models on Microsoft Fabric, specifically Fabric Lakehouse, Fabric Warehouse and One Lake, within a modern Lakehouse architecture.
Mandatory (Experience
3) – Must have strong hands-on dimensional modeling expertise, including star schemas, fact tables, conformed dimensions, slowly changing dimensions (SCDs), grain definition, business keys and surrogate keys
Mandatory (Experience
4) – Must have proven experience designing data models across Bronze, Silver and Gold layers using Medallion Architecture principles, including reusable business-aligned Silver datasets and consumption-ready Gold analytical models
Mandatory (Experience
5) – Must have strong SQL expertise, with the ability to read transformation logic, understand joins and aggregations, define source-to-target mappings, and validate that implemented logic matches the intended business model.
Mandatory (Experience
6) – Must have experience designing analytics-ready datasets for BI/reporting consumption and supporting semantic model design (e.g. Power BI), ensuring data structures are clear, performant and business-friendly.
Mandatory (Experience
7) – Must have experience documenting business definitions, source-to-target mappings, lineage, data quality rules and model assumptions, and collaborating across architects, data engineers, analysts and business stakeholders.
Preferred (Experience) – Familiarity with broader Azure data services and data product-oriented delivery.
Preferred (Domain) – Experience in regulated or enterprise-scale data environments, and Agile delivery.
Position Requirements
10+ Years
work experience
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×