Principal Consultant - Data Engineering

Posted Sunday 28 June 2026 at 12:00 pm Lab3 is one of the largest Azure engineering practices in the Australasia region with a focus on Cloud & DevOps, Data, IoT & AI, Modern Workplace, Modern Apps & Integration, Security, and Network services. Looking for a Principal Consultant in Australia with deep experience in Azure Data Engineering & data governance to be part of our professional services team in the Data, AI & IoT practice. The role: Act as a technology leader for client engagement. Drive high level design and delivery experience across the Azure Data technology offerings. Consult with customers to understand business needs and translate those into technical outcomes relating to effective data solutions. Identify, interpret, and communicate meaningful insights, conclusions, cost estimations, presentations and report to clients. Design and advise on state-of-the-art technical solutions on Azure that address customer's requirements for scalability, reliability, security, and performance. Lead project pipelines and focus on high level solution design and implementation of Data platforms. Be involved in data governance contributing to assessments and improvements Implement and deliver specialist solutions across Data Analytics and Reporting, Big Data, Business Intelligence, ML & IoT functions. Develop end-to-end data analytics and BI solutions, including Data Factory, Data Warehousing, Data Modelling, and Reporting using Microsoft technologies in Cloud environments (Azure). Mix of high-level skills in data engineering, consulting, architecture, and deployment The ideal candidate: Significant consulting, architecture & delivery experience in Azure Data Engineering, Data governance, data assessment, data maturity models, reporting and ideally AI Ability to understand business requirements and design effective solutions using deep Azure data engineering skills. Expertise in the Azure Data Platform - Microsoft frameworks (Cloud-based analytics), Data Catalog, Data Lineage, ML Extensive experience in Azure Data, Azure Data Factory, Azure Data Warehousing, Azure Synapse, Azure Databricks, Azure SQL, Big Data, Data Lakes and App Insights Extensive experience in Conventional Microsoft BI technologies such as SSIS | SSRS | SSAS Experience in data architecture, modelling and governance Experience in the creation, deployment, support, and management of complex AI, IoT, Open Source ML and Data solution Azure IoT – advantageous Azure DevOps & Automation - comfortable working in a CI/CD environment What’s in it for you? Be part of a team that leverages modern technologies to solve real problems and provides top level of customer satisfaction Work with a Microsoft Partner of the Yea r award winner with multiple specialisations Be supported by experienced peers and leaders that value technical expertise and encourages innovation, with clear career pathways and ongoing learning Enjoy a supportive workplace that promotes inclusion, flexibility, diversity, and celebrates differences. Take advantage of largely working from home in our remote/hybrid workplace and enjoy the flexibility to balance your life Thrive in a community with strong values #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore Apply now or connect with the Talent team on LinkedIn for further information.