[Hiring] MS Fabric Analytics Data Architect @Sparix Global.

Role Description

Senior data architect with hands-on Microsoft Fabric expertise and enterprise modelling depth.

Primary Focus:

• Designing the full data architecture across Medallion layers on Microsoft Fabric.

Experience:

• 10+ years in data architecture and enterprise analytics platforms.

DELIVERY EXPECTATION:

• This is a blueprint role, not a build role. The client is establishing an enterprise data platform on Microsoft Fabric and needs an architect who can design the full modelling stack from raw ingestion through to analytics-ready gold layer assets.
• Engineers and BI developers will implement from your designs:
• End-to-end data model architecture spanning conceptual, logical and physical layers for Fabric Lakehouse and Warehouse.
• Medallion Architecture design: defining bronze ingestion patterns, silver harmonisation standards, and gold reporting models.
• Conformed dimensions, fact tables, reference data structures, master data views and analytics-ready datasets.
• Source-to-target mappings handed to engineers as working specifications, not verbal briefs.
• Power BI semantic model structure ensuring data shapes are performant, clear and business-friendly before they reach the report layer.
• Governance outputs: business definitions, model assumptions, lineage, data quality rules and known limitations, all documented.

Qualifications

• Solid hands-on familiarity with Microsoft Fabric Lakehouse.
• Dimensional Modelling (Kimball / Data Vault).
• Microsoft Fabric Warehouse.
• Source-to-Target Mapping.
• Power BI Semantic Models.
• Data Lineage & Metadata Management.
• Medallion Architecture (Bronze/Silver/Gold).
• Enterprise Data Governance Frameworks.

Requirements

• Define modelling patterns and standards for Fabric Lakehouse, Fabric Warehouse and Power BI semantic consumption across the platform.
• Establish model grain, business keys, surrogate keys, relationship cardinality, hierarchies and history handling conventions.
• Design conformed dimensions and fact table structures that work across multiple subject areas and reporting domains.
• Align all models with enterprise naming standards, glossary terms, metadata cataloguing and access classification requirements.
• Bronze layer: define raw data onboarding patterns, landing zone structures and source system representation standards.
• Silver layer: design reusable, cleansed and harmonised datasets that go beyond simple copies of source data, adding business context and standardisation.
• Gold layer: architect reporting-ready models built around KPIs, business questions and decision-making needs rather than source system structures.
• Work directly with domain teams to surface business processes, data ownership boundaries, key metrics and analytical requirements.
• Translate business language into precise data model specifications that engineers can implement without ambiguity.
• Identify and resolve duplicated reporting datasets and inconsistent KPI definitions across the organisation.
• Support Power BI semantic model design reviews, ensuring the modelling layer beneath reports is sound before development begins.

Company Description