Support, monitor, test, and improve Microsoft Fabric data solutions across business teams and user groups
Assess business data support needs, source systems, data quality, technical constraints, incidents, and readiness
Create support models, data solution designs, runbooks, remediation plans, and stakeholder engagement materials
Support Fabric items, data engineering workloads, Data Factory pipelines, lakehouse and warehouse assets, notebooks, semantic models, and workspace content
Integrate Microsoft Fabric with Microsoft 365, SharePoint, Dataverse, SQL, Excel, Azure data services, Power BI, and AI/ML solutions using Microsoft Foundry
Build guides, support notes, refresh runbooks, release updates, and knowledge articles
Support governance adoption, including workspaces, security, data access, refresh, deployment pipelines, capacity usage, access controls, and standards
Use Microsoft Foundry, Fabric Data Science, notebooks, and related AI/ML services to improve forecasting, classification, automation, workflows, and data-driven actions
Track platform usage, performance, adoption, capacity, incidents, and data issues and recommend continuous improvements
Engage with stakeholders, data owners, service teams, analysts, makers, and end users
Requirements
3–5 years' experience in data platform support, data engineering, analytics, business intelligence, application support, or solution delivery roles
Robust working knowledge of Microsoft Fabric, Fabric workspaces, Data Factory, lakehouses, warehouses, notebooks, semantic models, pipelines, deployment pipelines, and Power BI integration
Experience supporting data platforms, operational analytics, executive reporting, self-service analytics, AI/ML enablement, and data-led business improvements




Ability to troubleshoot data pipelines, refresh failures, access issues, performance concerns, data quality defects, and integration problems
Ability to create support runbooks, data dictionaries, technical notes, user guides, release notes, incident updates, and support artefacts
Experience running support reviews, incident triage sessions, data solution walkthroughs, backlog reviews, and stakeholder briefings
Understanding of Microsoft Fabric governance, security, workspace management, data sensitivity, sharing models, capacity usage, access controls, and data lifecycle basics
Working knowledge of Microsoft Foundry, Fabric Data Science, AI/ML workloads, Power Apps, Power Automate, Dataverse, connectors, and Microsoft 365 integration patterns
Familiarity with SQL, Excel, SharePoint, Dataverse, APIs, Azure Data Factory, Azure SQL, Fabric, Synapse, Power BI, Microsoft Foundry, or Dynamics 365 data sources
Bachelor's degree in IT, computer science, data analytics, business systems, engineering, or related field
Must be an Australian citizen
Eligible to obtain and maintain an Australian Government security clearance
Existing Australian Government security clearance viewed favourably
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Desirable: Microsoft Certified: Azure Data Engineer Associate (DP-203)
Desirable: Microsoft Certified:



Azure AI Engineer Associate (AI-102)
Relevant Azure data, Microsoft 365, integration, data governance, AI/ML, or IT service management certifications
Strong communication, problem-solving, troubleshooting, and stakeholder management skills
Core Competencies
Demonstrates expertise in Microsoft Fabric, data engineering, and analytics, with a strong focus on data platform support, governance, and integration with Microsoft 365 and Azure services.
Proficient in creating technical documentation, troubleshooting data issues, and engaging with stakeholders to drive data-led business improvements.
Highest-signal resume keywords
Microsoft Fabric Support
Data Engineering
Power BI Integration
AI/ML Workloads
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
ATS Optimization Keywords
Hard Skills
Data Platform Support
Data Quality Assessment
Data Pipeline Troubleshooting
Support Runbook Creation
Operational Analytics
Data Solution Design
Data Factory Pipelines
SQL
Azure Data Services
Data Governance
Soft Skills
Strong Communication
Problem-Solving
Stakeholder Management
Troubleshooting
Certifications & Qualifications
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Industry Keywords
Data Governance
Data Sensitivity
Integration Patterns
Data Lifecycle Management
Self-Service Analytics
Tools & Technologies
Microsoft Fabric
Microsoft Foundry
Power Apps
Power Automate
Dataverse
Azure SQL
Excel
SharePoint
Dynamics 365
Notebooks
#J-*****-Ljbffr

📌 Data Support Engineer (New South Wales)
🏢 Jobtailor
📍 New South Wales