Fabric Data Architect: Modernize & Govern Enterprise Data

XPT Software Australia; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

XPT Software Australia is seeking a Fabric Data Architect to design and govern enterprise-scale data platforms using Microsoft Fabric. You will lead Lakehouse design, data integration, governance, security, and analytics enablement, collaborating with stakeholders and engineering teams to deliver scalable solutions.

The role requires architecting batch and streaming data pipelines, implementing robust security, and driving modernization of legacy data platforms.

Qualifications

• Extensive experience designing enterprise-scale data platforms on Microsoft Fabric.
• Proven ability to build Lakehouse architectures using Bronze/Silver/Gold patterns.
• Strong data governance, security, and privacy controls implementation.
• Experience in data modeling, analytics enablement, and self-service BI.
• Proven leadership in architecture reviews and stakeholder engagements.

Responsibilities

• Design enterprise data architecture using Fabric components like OneLake, Lakehouse, Data Warehouse.
• Define conceptual, logical, and physical data models.
• Lead data migration and modernization projects to Fabric.
• Architect batch, streaming, and event-driven ingestion solutions.
• Enable self-service BI through Power BI and semantic models.
• Implement governance using Microsoft Purview and Fabric capabilities.

Skills

Enterprise Data Architecture

Modern Data Platform Design

Data Governance

Stakeholder Management

Solution Consulting

Technical Leadership

Cost Optimization

Architecture Review & Governance

Tools

OneLake

Lakehouse

Data Warehouse

Fabric Data Factory

Power BI

Notebooks

Semantic Models

Direct Lake

Delta Lake

Azure Data Factory

Azure Synapse

Azure SQL

Azure Purview

Job description

XPT Software Australia is seeking a Fabric Data Architect to design and govern enterprise-scale data platforms using Microsoft Fabric. You will lead Lakehouse design, data integration, governance, security, and analytics enablement, collaborating with stakeholders and engineering teams to deliver scalable solutions.

The role requires architecting batch and streaming data pipelines, implementing robust security, and driving modernization of legacy data platforms.