Data Support Engineer

• 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
• Strong 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