Job Description

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- Support, monitor, test, and improve Microsoft Fabric data solutions across business teams and user groups
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- Assess business data support needs, source systems, data quality, technical constraints, incidents, and readiness
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- Create support models, data solution designs, runbooks, remediation plans, and stakeholder engagement materials
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- Support Fabric items, data engineering workloads, Data Factory pipelines, lakehouse and warehouse assets, notebooks, semantic models, and workspace content
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- Integrate Microsoft Fabric with Microsoft 365, SharePoint, Dataverse, SQL, Excel, Azure data services, Power BI, and AI/ML solutions using Microsoft Foundry
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- Build guides, support notes, refresh runbooks, release updates, and knowledge articles
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- Support governance adoption, including workspaces, security, data access, refresh, deployment pipelines, capacity usage, access controls, and standards
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- Use Microsoft Foundry, Fabric Data Science, notebooks, and related AI/ML services to improve forecasting, classification, automation, workflows, and data-driven actions
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- Track platform usage, performance, adoption, capacity, incidents, and data issues and recommend continuous improvements
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- Engage with stakeholders, data owners, service teams, analysts, makers, and end users
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Requirements

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- 3–5 years' experience in data platform support, data engineering, analytics, business intelligence, application support, or solution delivery roles
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- Robust working knowledge of Microsoft Fabric, Fabric workspaces, Data Factory, lakehouses, warehouses, notebooks, semantic models, pipelines, deployment pipelines, and Power BI integration
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- Experience supporting data platforms, operational analytics, executive reporting, self-service analytics, AI/ML enablement, and data-led business improvements
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- Ability to troubleshoot data pipelines,



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



data governance, AI/ML, or IT service management certifications
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- Strong communication, problem-solving, troubleshooting, and stakeholder management skills
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Core Competencies

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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.

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Highest-signal resume keywords

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- Microsoft Fabric Support
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- Data Engineering
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- Power BI Integration
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- AI/ML Workloads
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- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
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ATS Optimization Keywords

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Hard Skills

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- Data Platform Support
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- Data Quality Assessment
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- Data Pipeline Troubleshooting
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- Support Runbook Creation
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- Operational Analytics
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- Data Solution Design
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- Data Factory Pipelines
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- SQL
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- Azure Data Services
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- Data Governance
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Soft Skills

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- Strong Communication
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- Problem-Solving
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- Stakeholder Management
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- Troubleshooting
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Certifications & Qualifications

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- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
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- Microsoft Certified: Azure Data Engineer Associate (DP-203)
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- Microsoft Certified: Azure AI Engineer Associate (AI-102)
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Industry Keywords

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- Data Governance
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- Data Sensitivity
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- Integration Patterns
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- Data Lifecycle Management
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- Self-Service Analytics
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Tools & Technologies

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- Microsoft Fabric
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- Microsoft Foundry
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- Power Apps
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- Power Automate
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- Dataverse
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- Azure SQL
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- Excel
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- SharePoint
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- Dynamics 365
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- Notebooks
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📌 Data Support Engineer (New South Wales)
🏢 Jobtailor
📍 New South Wales