Senior Azure Data Architect

Candidate Description

With more than two decades navigating data-platform transformations, this professional excels in architecting and engineering cloud-scale solutions that unlock advanced analytics and machine-learning value. Their breadth spans Microsoft Azure, AWS, Databricks, Snowflake and Oracle ecosystems, underpinned by robust ETL expertise in IBM DataStage, Informatica and SSIS. Leveraging strong analytical and stakeholder-engagement skills, they have delivered impactful outcomes across financial services, retail, media, higher-education and healthcare domains.

Key achievements include leading a Major Bank s regulatory reporting modernisation, designing a Media Company s unified marketing analytics platform, and accelerating a Major Retailer s supply-chain forecasting through high-quality Databricks pipelines. Adept at data-governance frameworks, CI/CD enablement and performance-tuned architectures, they routinely partner with data-science teams to operationalise predictive models, improve campaign targeting and drive measurable business KPIs. Their experience also covers technical sales at a Technology Company, pre-sales architecture for VMware virtualisation, and solution audits for a Technology Provider, demonstrating versatility across the full data-lifecycle.

Combining leadership with a passion for knowledge-sharing, they mentor junior engineers, conduct executive design workshops and champion documentation standards that scale delivery teams. Their ability to adapt rapidly to emerging technologies, collaborate across functional boundaries and translate business objectives into resilient data architectures positions them as a valuable asset for organisations seeking to maximise data-driven outcomes and cloud modernisation success.