Data Architect

Candidate Description

Specialising in cloud data architecture and enterprise analytics, the candidate brings a career spanning data platforms, business intelligence and systems delivery since 2004. Their experience includes Data Architect responsibilities at an Energy Utility, enterprise data-hub architecture for a Telecommunications Company through a Consulting Firm, and senior platform leadership at an Insurance Company. They combine Azure expertise with Google Cloud Platform, AWS and established on-premises warehouse technologies. Their background spans electricity transmission, telecommunications, banking, insurance, aviation and technology consulting. Core strengths include lakehouse architecture, data modelling, governance, integration and analytical problem-solving.

Their architectural depth is demonstrated through modernisation initiatives covering Azure Data Lake, Databricks, Data Factory, Synapse Analytics, Microsoft Fabric and Purview. At the Energy Utility, they established lakehouse foundations covering pipelines, consumption, protection, analytics and DataOps. At the Insurance Company, they led Azure data-platform migration work, established Common Data Model alignment and supported an API-based agency portal architecture using Azure Kubernetes and MongoDB. Their delivery at an Insurance Company included finance and claims warehouses, Qlik Sense dashboards, Azure data-lake implementation and advanced analytics tooling. Earlier work at an Airline and a Financial Institution developed substantial expertise in warehouse migration, ETL frameworks, conceptual-to-physical modelling and performance tuning. They apply Agile delivery practices and hold Microsoft Azure Solutions Architect Expert, Azure Administrator Associate and Azure Data Fundamentals certifications.

Leadership experience includes recruiting data specialists, establishing modelling teams, directing vendors and guiding engineering teams through architectural decisions. At a Telecommunications Company, they led three ETL subordinates while managing prepaid, usage and revenue warehouse initiatives. Their collaborative approach extends to business users, finance and actuarial stakeholders, enterprise architects and security teams. They have also delivered technical training, including ETL training for a Financial Institution's Malaysia team and BusinessObjects workshops at a Consulting Firm. This combination of strategic architecture, practical delivery and stakeholder engagement positions them to help organisations modernise data estates while strengthening governance, reuse and analytical capability.