Senior Azure Data Architect & Engineer

Candidate Description

With more than a decade in data-centric roles, this professional excels at architecting and engineering cloud-native solutions on Microsoft Azure, Databricks, and related modern data platforms. Their background spans retail, government, and financial-services sectors, underpinned by strong analytical acumen and a commitment to best-practice data governance, modelling and security. Proficiency extends across ETL, data-warehousing and advanced SQL/T-SQL development, enabling the delivery of resilient, high-performance data ecosystems.

Technically, they have designed and automated large-scale migration pipelines using Azure Data Factory, Databricks and Synapse Analytics, integrating complex datasets from Oracle, PostgreSQL and MongoDB sources. Hands-on expertise covers Python, Pyspark, SSIS and CI/CD with Azure DevOps, while achievements include driving a 40 % reduction in processing times, instituting rigorous data-quality frameworks, and optimising multi-billion-row SQL workloads for Woolworths’ e-commerce platform.

Equally effective in leadership and collaboration, they mentor cross-functional teams, liaise with stakeholders to align technical deliverables with business objectives, and adapt quickly to evolving challenges. Their blend of architectural vision, hands-on engineering and continuous improvement mindset positions them as a valuable asset for organisations seeking scalable, secure and high-value data solutions.