Principle Data Engineer and Data Architect

Candidate Description

With over 25 years navigating the data and analytics landscape, this professional excels in architecting modern cloud data platforms that unlock business value. They offer deep expertise across Microsoft Azure, Databricks, Power BI and the wider Power Platform, consistently translating complex requirements into scalable, secure and high-performance solutions. Adept at leading cross-functional teams, they combine solid analytical capability with a passion for innovation to drive digital-transformation initiatives for organisations such as a Major Telecommunications Company, an Energy Company and a Government Agency.

Their technical acumen is demonstrated through the design and delivery of Medallion and Lakehouse architectures, metadata-driven ingestion frameworks and sophisticated CI/CD pipelines. Adept at data modelling (Kimball, Inmon, Data Vault) and governance, they have migrated legacy warehouses to Azure, embedded advanced security controls with Purview and Active Directory RBAC, and integrated diverse SaaS sources including Dynamics 365, Genesys Cloud and ServiceNow. Key achievements include building a lakehouse platform that generates over 3,000 enterprise-customer reports monthly for a Major Telecommunications Company, leading a Synapse-based modern-data-platform implementation at a Technology Provider, and creating an Azure-powered Analytics Hub that eliminated manual reporting for a Defence Recruitment Agency.

A collaborative leader, they inspire teams through mentoring and knowledge-sharing while maintaining a sharp focus on stakeholder alignment and strategic outcomes. Comfortable guiding 3–7 feature teams, they have proven adaptability across telecommunications, finance, retail and healthcare domains, consistently delivering data-driven insights that empower informed decision-making. Their blend of solution architecture mastery, hands-on engineering skills and business acumen positions them as a valuable asset for organisations seeking to harness data for competitive advantage.