Data Support Engineer

Avanade

Microsoft Fabric Data Support Engineer supporting Avanade’s Australian clients with reliable data platforms and analytics services. Maintaining pipelines, lakehouses, warehouses, governance, reporting, and AI/ML workloads.

Posted 8/12/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 SupportData EngineeringPower BI IntegrationAI/ML WorkloadsMicrosoft Certified: Fabric Analytics Engineer Associate (DP-600)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform SupportData Quality AssessmentData Pipeline TroubleshootingSupport Runbook CreationOperational AnalyticsData Solution DesignData Factory PipelinesSQLAzure Data ServicesData Governance

Soft Skills

Strong CommunicationProblem-SolvingStakeholder ManagementTroubleshooting

Tools & Technologies

Microsoft FabricMicrosoft FoundryPower AppsPower AutomateDataverseAzure SQLExcelSharePointDynamics 365Notebooks

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 GovernanceData SensitivityIntegration PatternsData Lifecycle ManagementSelf-Service Analytics

Tech Stack

Tools & technologies

AzureITSMSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Career path suited to skills and interests
Freedom to be your authentic self
Growth, well-being, and success support
Opportunity to work with Microsoft and Accenture partnership
Innovative solutions and meaningful impact on colleagues, clients, and communities