Principal Consultant - Data, IoT & AI

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 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
• Australian citizens eligible for government security will be given preference. To be considered you must already have the right to permanently residence and work in Australia. We are open to candidates, as permanent employees or contractors, working remotely from anywhere in Australia.
• You should be available immediately or be ready for a start in 2025
  
  
  

What's in it for you?

• Help organisations understand how they can modernise and optimise efficiencies utilising the latest cloud technologies to client #thinkahead
• Be part of a company that is leading the way in technology & partnering with high profile clients # winwithus
• Work with a 13-time Gold, 6-time Microsoft Advanced Specialisation & 5 time Microsoft Solutions Partner #teamup
• Thrive in a team that is always learning, always innovating and making waves on a global scale. #standout
• Be part of a supportive working environment that values inclusion, flexibility, diversity and differences.. #betrue
• We work flexibly and recognise the importance of your overall wellbeing! #Flexit!
• Ultimately we will help you to fear less, achieve more in a fast paced, innovative and cool environment - are you ready to accept the challenge? #fearlessachievemore
• Certified Great Place to Work for Australia and New Zealand #loveyour work
  
  
  

Work remotely, based anywhere in Australia or from one of our offices in Melbourne, Sydney or Canberra

If you have questions mail me on [email protected] or call 0212379092. Otherwise apply now!

Apply now