Cloud Data Architect

Candidate Description

With extensive experience across cloud architecture, data engineering and analytics, this professional excels at translating complex business requirements into scalable technical solutions. They possess deep expertise in AWS, Google Cloud and Microsoft BI technologies, underpinned by solid grounding in data modelling, ETL design and stakeholder engagement. Their background spans ISV product development, consulting assignments and large-scale financial and government environments, showcasing adaptability and strategic thinking.

Notable technical achievements include architecting a greenfield AWS data lake for a Technology Company using services such as AWS DMS, S3, Athena and Glue, and automating customer-facing data products through Kafka, Dagster and DBT. Adept at CI/CD, Python-based development and container orchestration with Docker and ECS, they have delivered robust batch and streaming pipelines, introduced modern version-control practices and championed Agile methodologies across multiple teams. Their communication skills enable seamless collaboration with C-suite stakeholders and hands-on engineers alike.

Combining leadership, mentorship and a passion for continuous improvement, they guide teams through ambiguity to deliver high-value outcomes. Their cross-sector exposure—encompassing consulting with an IT Solutions Provider, financial services at an Insurance Company and government analytics for a Government Department—demonstrates versatility and a keen ability to drive digital transformation. This individual offers a balanced blend of strategic vision and technical depth, positioning them as a valuable asset for organisations seeking data-driven innovation.