Managing Consultant Data and AI

Candidate Description

A seasoned Data Architect and Engineering leader with over 18 years of experience, this professional has shaped complex data ecosystems across finance, telecommunications, government, utilities and professional services sectors. Leveraging deep expertise in Azure, Databricks, Microsoft Fabric and Snowflake, they design high-performance lakehouse and warehouse solutions that transform fragmented datasets into trusted, governed and insight-ready assets. Their background spans roles from hands-on development through enterprise architecture, equipping them to bridge business objectives with robust technical execution.

Proficiency is evidenced by successful delivery of metadata-driven ETL frameworks, medallion architectures and star-schema data models using Azure Synapse Analytics, Data Factory, Power BI and AWS Glue. Adept at CI/CD automation with Azure DevOps, they have led multi-disciplinary teams to implement secure, scalable platforms for a Major Bank, a Superannuation Fund, an Educational Provider and a Transport Authority. Key achievements include consolidating 16 disparate sources into a Databricks strategic platform, architecting an AWS-based Consolidated Data Platform, and modernising legacy finance reporting interfaces on Microsoft Fabric.

Combining strategic vision with pragmatic leadership, this professional excels at stakeholder engagement, mentoring engineers and instilling best-practice data governance standards. Their adaptability across diverse domains, coupled with recognised certifications such as Azure Data Engineer Associate, Fabric Analytics Engineer Associate and Databricks Certified Data Engineer Professional, positions them as a catalyst for data-driven transformation. Organisations benefit from their ability to deliver resilient architectures, streamline delivery pipelines and foster high-performing teams committed to continuous improvement.