Senior Data Consultant / Lead Data Engineer

Candidate Description

With more than a decade of experience spanning Microsoft Fabric, Azure and Databricks ecosystems, this senior data professional excels in architecting and delivering enterprise-grade data platforms that power analytics for government, education and commercial organisations. They blend deep technical knowledge of medallion lakehouse patterns, dimensional modelling and Dynamics 365 source integrations with a pragmatic, outcome-focused approach to delivery, honed through engagements at a Consulting Firm, a Professional Association and multiple federal departments.

Their technical acumen is demonstrated through end-to-end solutions that leverage Azure Data Factory, Delta Lake and PySpark to ingest and transform high-volume datasets, while utilising Power BI Premium and complex DAX for rich, secure reporting. Key achievements include leading the full Microsoft Fabric implementation for a Major Education Organization, designing a metadata-driven data-quality framework for an International Organization, and orchestrating CI/CD pipelines with Azure DevOps and GitHub Actions that ensure repeatable, governed deployments across Dev, Test and Prod.

Beyond hands-on engineering, this professional provides strategic leadership—mentoring teams, guiding stakeholders and steering Agile delivery—to ensure data initiatives align with organisational objectives and deliver measurable value. Their versatility across sectors, coupled with NV1 clearance and a strong foundation in analytics and cloud best practice, positions them as a trusted advisor and technical lead capable of driving scalable, high-quality data outcomes.