AI & Data Solution Architect / Solutions Engineer

Candidate Description

Marked by a rare blend of strategic thinking and deep technical acumen, this Cloud Solution Architect brings hands-on expertise across Azure data, AI, and modern integration platforms. With experience spanning engineering, transportation, and manufacturing environments, they translate complex business requirements into scalable, secure and cost-efficient cloud architectures. Their foundation in mechanical engineering further sharpens an analytical approach that bridges technical and operational domains.

Their technical acumen is demonstrated through proficiency in Azure Databricks, Azure Data Lake Gen2, Azure OpenAI, AI Search and Power Platform components such as Power Apps, Power Automate and Power BI. Adept at CI/CD, Terraform-driven infrastructure-as-code and Azure DevOps/GitHub pipelines, they have architected retrieval-augmented generation solutions, led DB2-to-Databricks migrations and established robust hybrid connectivity via ExpressRoute and Private Endpoints. Key achievements include delivering an enterprise AI assistant adopted by 300+ users and realising multi-million-dollar cost savings through data-driven maintenance optimisation, all while enforcing RBAC, Key Vault and CAF/WAF governance patterns.

Collaborative leadership underpins their success; they routinely partner with project managers, cloud engineers and data teams to clarify requirements, resolve blockers and uphold delivery timelines. Comfortable guiding stakeholders through discovery workshops and architecture reviews, they champion cost-optimisation, compliance and operational resilience. This combination of hands-on engineering, strategic vision and proven delivery record positions them as a valuable catalyst for organisations pursuing data-centric digital transformation on Microsoft Azure.