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



refresh failures, access issues, performance concerns, data quality defects, and integration problems
n
Ability to create support runbooks, data dictionaries, technical notes, user guides, release notes, incident updates, and support artefacts
n
Experience running support reviews, incident triage sessions, data solution walkthroughs, backlog reviews, and stakeholder briefings
n
Understanding of Microsoft Fabric governance, security, workspace management, data sensitivity, sharing models, capacity usage, access controls, and data lifecycle basics
n
Working knowledge of Microsoft Foundry, Fabric Data Science, AI/ML workloads, Power Apps, Power Automate, Dataverse, connectors, and Microsoft 365 integration patterns
n
Familiarity with SQL, Excel, SharePoint, Dataverse, APIs, Azure Data Factory, Azure SQL, Fabric, Synapse, Power BI, Microsoft Foundry, or Dynamics 365 data sources
n
Bachelor's degree in IT, computer science, data analytics, business systems, engineering, or related field
n
Must be an Australian citizen
n
Eligible to obtain and maintain an Australian Government security clearance
n
Existing Australian Government security clearance viewed favourably
n
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
n
Desirable: Microsoft Certified: Azure Data Engineer Associate (DP-203)
n
Desirable: Microsoft Certified: Azure AI Engineer Associate (AI-102)
n
Relevant Azure data, Microsoft 365, integration, data governance, AI/ML,



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

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