Job Description

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Summary

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Avanade is growing, and we seek motivated and engaged technology professionals to join our Managed Services team delivering continuous value to our client’s businesses.
n We are seeking a Microsoft Fabric Data Support Engineer who can support, maintain , and improve data and analytics solutions using the Microsoft Fabric platform. You will work with business and technology stakeholders to keep data pipelines, lakehouses , warehouses, semantic models, notebooks, reports, AI/ML workloads, and operational insights reliable, secure, and fit for purpose , with Microsoft Foundry capability used to extend AI, machine learning, and intelligent data outcomes where needed.

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You must be an Australian citizen to apply; existing clearance will be viewed favourably .

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Core to the Role

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Support, monitor, test, and improve Microsoft Fabric data solutions, including pipelines, lakehouses , warehouses, semantic models, notebooks, and reporting assets across business teams and user groups.

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Assess business data support needs, source systems, data quality, technical constraints, incidents, and readiness for new data and analytics solutions.

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Create practical 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 where appropriate .

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Build simple guides, support notes, refresh runbooks, release updates, and knowledge articles for data users and support teams.

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Support governance adoption, including workspaces, security, data access, data 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 where appropriate to improve forecasting, classification, automation,



workflow, and data-driven actions.

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Track platform usage, performance, adoption, capacity, incidents, and data issues, then recommend continuous improvements.

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About You

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You are an experienced data support professional with the ability to translate business requirements and complex data environments into reliable, maintainable data and analytics services. You have a strong understanding of Microsoft Fabric, data engineering, lakehouse and warehouse patterns, semantic models, data pipelines, workspace governance, security, refresh management, capacity awareness, and support requirements across Microsoft 365, Azure-connected services, Power BI, and AI/ML workloads. You are comfortable engaging with stakeholders, data owners, service teams, analysts, makers, and end users to support data solutions that are robust, maintainable, and aligned to business outcomes.

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Professional Skillset

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Strong 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 across Fabric and related services.

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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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Confident facilitator with 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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Secondary 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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Solid communication , problem-solving, troubleshooting, and stakeholder management skills.

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Preferred Education and Experience

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3–5 years’ experience in D ata platform support, data engineering, analytics, business intelligence, application support, or solution delivery roles.

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Experience supporting data pipeline operations, report migration, lakehouse or warehouse improvement, semantic model support, analytics enablement, or managed services programs.

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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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Exposure to Microsoft Foundry, notebooks, machine learning models, Power Apps, Power Automate, Dataverse, or broader Power Platform delivery is desirable.

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Bachelor’s degree in IT, computer science, data analytics, business systems, engineering, or related field .

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Candidates must be Australian citizens and be eligible to obtain and maintain an Australian Government security clearance. Existing Australian Government security clearance is highly regarded.

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Certifications

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Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)

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Microsoft Certified: Azure Data Engineer Associate (DP-203) (desirable)

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Microsoft Certified: Azure AI Engineer Associate (AI-102) (desirable)

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Relevant Azure data, Microsoft 365, integration, data governance, AI/ML, or IT service management certifications

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📌 Microsoft Fabric Data Support Engineer (New South Wales)
🏢 Avanade
📍 New South Wales