Data & AI Solutions Architect (Power BI & Fabric)

RGIT Australia

Sydney

On-site

AUD 120,000 - 160,000

Full time

24 hours ago
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Benefits offered by this job

Birthday Leave
Monthly Team Lunches
Tech Product Discounts
Paid Parental Leave
Flexible Working Arrangements
Learning & Development Opportunities
Competitive Salaries

Job summary

ASI Solutions is seeking a Data & AI Consultant to design, build and support analytics solutions across Microsoft Fabric and Power BI for clients in education, government, and commercial sectors. You will shape data models, dashboards, and automation while working with Copilot, Azure OpenAI, and governance best practices.

You will run discovery workshops, map KPIs to requirements, and mentor junior consultants, delivering high-value analytics services and enabling customer success.

Qualifications

  • Extensive hands-on experience delivering BI and data solutions on the Microsoft stack.
  • Strong Power BI skills with dimensional modelling and DAX.
  • Experience with Fabric, Lakehouse/Warehouse, Data Factory pipelines, and semantic models.

Responsibilities

  • Design and build end-to-end analytics solutions in Microsoft Fabric (Lakehouse/Warehouse, pipelines, notebooks).
  • Build and tune Power BI models and reports with security and performance in mind.
  • Lead workshops, map KPIs, and translate questions into data models and delivery plans.
  • Mentor junior consultants and contribute reusable assets to the practice.

Skills

Power BI
SQL
Azure
Power Apps
Power Automate
Dataverse
GitHub
Fabric Analytics

Education

Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
PL-300 / DP-700 / PL-600 or AZ-900/DP-900

Tools

Microsoft Fabric
OneLake
Data Factory
Git integration

Job description

ASI Solutions is seeking a Data & AI Consultant to design, build and support analytics solutions across Microsoft Fabric and Power BI for clients in education, government, and commercial sectors. You will shape data models, dashboards, and automation while working with Copilot, Azure OpenAI, and governance best practices.

You will run discovery workshops, map KPIs to requirements, and mentor junior consultants, delivering high-value analytics services and enabling customer success.

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