Senior Data and Analytics Platform Administrator

Location: Sydney

Contract Type: Permanent

MinterEllison is one of Australias largest independent law and consulting firms. With a heritage of almost 200 years we are known for our excellence and our authentic and enduring relationships with our clients our people and our communities. Clients seek out MinterEllison to help them solve complex problems every day. We do this by our full-service legal offering and complementary consulting offering.

We offer opportunities to work on industry-leading mandates for top-tier clients while being part of a high-performing and collaborative team that values excellence diversity of thought curiosity and inclusion. We value our people and empower them to achieve their ambitions - with the support trust and autonomy to grow their careers in meaningful ways.

At MinterEllison were leading the way with AI and other emerging technologies powering innovation right across our firm. You will have the opportunity to engage with AI tools weve built and other external AI tools to enhance efficiencies and excellence internally and with our clients.

We support sustainable ways of working regarding how when and where you work and offer a wide range of social financial and health benefits (see Role

We have an exciting opportunity for a full-time permanent Senior Data & Analytics Platform

Administrator to join our collaborative Digital this role you will be responsible for the configuration administration and optimisation of the firms data and analytics platforms ensuring they are secure performant and scalable as the firm expands its use of data reporting and AI.

This role sits within the Digital team and provides the technical depth and hands-on expertise required to maintain optimise and evolve the Microsoft Power BI and Microsoft Fabric environments in partnership with the firms Data Analytics and Insights team Data Engineering IT Applications and Cloud & Infrastructure. This role is available in our Sydney office with hybrid working arrangements available.

Responsibilities of your role include but are not limited to:

Data Platform Ownership & Configuration

• Administer configure and optimise Microsoft Power BI and Microsoft Fabric platforms including capacity management workspace governance and provisioning gateway configuration and tenant settings.
• Manage role-based access control (RBAC) permissions and data gateway connectivity across on-prem Azure and AWS environments.
• Implement and maintain Fabric components such as Dataflows Lakehouse Warehouse and Synapse integration to enable and support the Data Analytics and Insights capability.
• Configure and enable new Fabric and Power BI features in accordance with IT change control and security policies.
• Monthly software updates

Deployment Version Control & Release Management

• Build and maintain deployment pipelines (CI/CD) for Power BI and Fabric assets integrating with Git (Azure DevOps or GitHub).
• Manage branching strategies (feature release hotfix) pull requests merge conflict resolution and automated deployment workflows.
• Enforce versioning and release standards ensuring consistent promotion of content across development test and production environments.
• Maintain deployment documentation and configuration baselines for audit and recovery.

Monitoring Troubleshooting & Administration

• Monitor Fabric and Power BI capacities dataset refreshes and workspace health using Fabric monitoring tools APIs and PowerShell.
• Diagnose and resolve refresh failures performance bottlenecks and capacity spikes performing root-cause analysis and remediation.
• Implement automated monitoring and auditing scripts for capacity usage workspace provisioning and governance reporting.
• Apply incident management procedures ensuring service continuity and documented resolution of technical issues.
• Liaise with Microsoft and third-party vendors to resolve platform or capacity-related issues.

Performance Tuning & Validation

• Conduct performance tuning for datasets reports and semantic models using DAX Studio Tabular Editor and Performance Analyzer.
• Perform final review of self-service data models to validate performance data accuracy and adherence to platform standards.
• Optimise data refresh schedules and query performance to reduce capacity consumption and improve user experience.

Data Integration & Orchestration

• Develop and maintain data ingestion and transformation pipelines using Microsoft Fabric Dataflows and Azure Databricks (SQL PySpark).
• Integrate Fabric Power BI and Databricks endpoints to enable live analytics and support for data science workloads.
• Ensure secure and reliable data connectivity between hybrid sources across Azure AWS and on-prem environments.

Cross Team Collaboration & Service Excellence

• Foster strong relationships with Data Analytics & Insights team IT Applications and Data engineering to ensure stability of Data platforms and maximise value.
• Build a strong bridge betweenData Engineering IT Applications and Securityteams to uphold high standards of service delivery and platform reliability.
• Ensure alignment to firm policies procurement and development guidelines; manage vendor/partner relationships where relevant.

More About You

We welcome applications from professionals who possess:

• 5 years experience in Data & Analytics roles with hands-on technical delivery and thought leadership.
• Expert in configuring and ensuring stability of Power BI environments (Desktop Service Admin/Tenant)
• Expert knowledge of Microsoft Fabric (OneLake Lakehouse Delta Data Factory pipelines notebooks Spark/PySpark) with strong understanding of Azure data services.
• Relevant Azure and Fabric certifications is nice to have (DP700 DP600 PL300 etc).
• Strong experience with cloud-based Data Warehouse and Data Lake environments (Azure/AWS/GCP).
• Proficient in T-SQL Python and PySpark for data transformation orchestration and automation.
• Skilled in implementing Git-based workflows and CI/CD pipelines for BI and data assets using Azure DevOps or GitHub.
• Solid background in data architecture governance and solution design including medallion architecture reusable data products and security/privacy by design.
• Exposure to AI and machine learning concepts including LLMs (OpenAI Bedrock) Azure AI Foundry

How to apply

We encourage applications from people of all ages abilities cultural backgrounds genders (including trans or gender diverse) LGBTQ people and those with carer responsibilities. We particularly encourage Aboriginal and Torres Strait Islander people to apply.

We prefer to connect with people directly so please submit your CV by clicking on the Apply button. We encourage all applications including if you do not meet all the criteria listed for the role. Your application will also enable us to consider you for other opportunities that may be available at MinterEllison.

If you are currently a MinterEllison employee please apply through the internal careers page.

If you would like further information require any adjustments throughout the recruitment process or for a confidential discussion please contact