Enterprise Architect (Data)

Candidate Description

With more than a decade of enterprise, data and solution architecture expertise, this professional has spearheaded large-scale modernisation initiatives across financial services, insurance, retail and gaming domains. They combine deep knowledge of cloud platforms specifically Azure, AWS and Databricks with well-honed strategic planning abilities to deliver secure, scalable and cost-efficient data ecosystems. Their engagement with executive leadership at organisations such as a Major Insurance Company, a Financial Services Company and a Gaming Company underscores a proven capability to align technical roadmaps with overarching business objectives.

Adept at architecting advanced analytics, Lakehouse and Gen-AI solutions, they demonstrate hands-on mastery of services including Azure Synapse Analytics, Databricks, Snowflake, Power BI and Apache Spark. Key accomplishments include creating a reference architecture that decommissioned three legacy systems and yielded 4.5 % cost savings, implementing federated data-governance models that streamlined compliance, and optimising Redshift clusters for ten-fold performance gains. Leveraging Agile and DevOps methodologies, they regularly guide solution architects through CI/CD pipelines, integration patterns (API Management, Event Hub, Azure Logic Apps) and data-quality frameworks.

Their leadership style blends mentorship with collaborative governance, fostering capability growth among architects and engineers while ensuring regulatory and security adherence. Adaptable across multiple industries, they consistently translate complex requirements into pragmatic, value-driven solutions backed by robust artefacts and stakeholder endorsement. This combination of strategic foresight, technical depth and influential communication positions them as a versatile enterprise architect who accelerates data-driven transformation and realises measurable business benefits.