Lead Data Architect – AWS

Candidate Description

With over nine years navigating complex data ecosystems, this senior data architect excels at delivering cloud-native analytics platforms that unlock business value. Adept at architecting end-to-end solutions across healthcare, financial services, and retail, they combine deep AWS expertise with strong data-modelling acumen to build secure, scalable data lakes and warehouses. Their passion for innovation and continuous learning underpins a proactive approach to problem-solving and stakeholder engagement.

Leveraging advanced skills in AWS, Snowflake, Apache Spark, and Talend, they design and implement metadata-driven ingestion frameworks, CI/CD pipelines, and cost-optimised query architectures. Key achievements include leading a Healthcare Company’s enterprise data-platform modernisation, crafting a Financial Institution’s reference-data automation framework, and driving Consulting Firm client deployments that accelerated BI delivery. Experienced with Agile and DevOps practices, they orchestrate secure infrastructure, performance tuning, and governance controls while producing comprehensive documentation.

A proven mentor and collaborative leader, this professional fosters cross-functional alignment, shares knowledge through training sessions, and continually refines delivery processes. Their adaptability across consulting, insurance, banking, and retail scenarios underscores a versatile capability set that translates strategic objectives into tangible data-driven outcomes, positioning organisations for sustained growth and insight-led decision making.