Senior Azure Data Architect

Candidate Description

With more than 15 years of end-to-end data leadership across Life Sciences, Government, Energy and SaaS start-ups, this professional excels at architecting cloud-native lakehouse and analytics solutions that transform raw information into strategic insight. Adept at Snowflake, Databricks, AWS and Azure ecosystems, they balance deep technical mastery with a strong understanding of regulatory and domain-specific requirements, having guided biosensor R&D at a Technology Company, biodiversity programs for a Government Department, and aged-care analytics at an Aged Care Provider.

Their technical acumen spans scalable data-modelling, Medallion-architecture pipelines, advanced IoT ingestion and real-time visualisation through Power BI Embedded. Notable achievements include delivering the company’s first fetal clinical-trial data pipeline, migrating 70 % of legacy SSIS workloads to Azure Data Factory in four months, and designing an industry-first telecom asset monitoring ontology for a Technology Provider’s digital-twin platform. Skilled in Python, Apache Spark, Airflow and CI/CD, they employ Agile and SDLC methodologies to drive predictable, high-quality delivery.

Combining strategic vision with hands-on execution, they have led cross-functional teams, mentored junior engineers and managed multimillion-dollar product roadmaps as both CTO & Co-Founder and Lead Software Engineer. Their adaptability across start-ups, research institutes and public-sector entities underscores a knack for shaping data strategies that unlock innovation and operational efficiency. Organisations seeking a forward-thinking Senior Data Architect who can align technology with business objectives will find exceptional value in this individual’s breadth, depth and leadership track record.