Enterprise Data Architect – Data & AI Platform

Candidate Description

A strategic Enterprise Data Architect with over 18 years of experience, this professional excels in designing modern, cloud-native data and AI platforms that drive tangible business outcomes. Having operated across banking, public-sector and healthcare environments, they combine deep technical acumen with a keen understanding of industry-specific regulatory and operational demands. Their expertise spans AWS, Azure, a Major Cloud Provider, Snowflake and Informatica, underpinned by strong skills in data governance, MDM and architecture leadership.

Adept at developing real-time engagement engines and large-scale data-migration strategies, they have delivered high-value solutions such as a bank's NBC engine, which generates AUD 5 million daily revenue, and a government agency's 700,000-participant Salesforce migration that saved AUD 200 K. Their technical repertoire covers event-driven architectures, MLOps, CI/CD pipelines and advanced analytics components including Databricks and Synapse. They routinely translate complex requirements into reusable reference architectures, accelerating delivery while ensuring compliance and security.

Demonstrating collaborative leadership, they mentor multidisciplinary teams, engage executive stakeholders and foster a culture of continuous improvement. Their adaptability is evidenced by successful engagements with organisations such as a Consulting Firm, a Financial Institution and a Healthcare Provider, where they aligned technology roadmaps with strategic objectives. This professional brings a powerful blend of visionary architecture, hands-on delivery and stakeholder stewardship, enabling organisations to unlock data-driven innovation at scale.