Cloud & Data Principal Solution Architect – Azure / AWS / Databricks / Snowflake

Candidate Description

With over two decades driving data-centric transformation, this professional blends strategic leadership and deep technical acumen to architect enterprise-scale platforms across AWS, Azure and GCP. They have navigated energy, healthcare, financial-services and government sectors, coupling domain insight with mastery of a Data Company, a Cloud Data Platform, Hadoop and modern lakehouse patterns to unlock descriptive, predictive and generative AI value. Adept at fostering collaborative relationships, they consistently translate complex data challenges into clear roadmaps that accelerate business outcomes.

Their technical repertoire spans advanced data-engineering, ML Engineering and MLOps disciplines, evidenced by successful migrations of 150+ workloads from Azure Synapse to a Data Company and the rollout of a 30 B-record smart-meter platform for an Energy Company. Leveraging Pyspark, Airflow, Azure Data Factory and automated CI/CD pipelines, they have architected resilient ingestion, orchestration and governance frameworks while embedding responsible-AI guardrails. Achievements include securing multimillion-dollar engagements, reducing processing SLAs from hours to minutes and elevating data-quality compliance across regulated environments.

A natural people-leader, they build and mentor high-performing teams, establish operating models and shape investment portfolios that align technology capability with strategic vision. Their adaptable approach—demonstrated at a Technology Company, a Consulting Firm, a Consulting Firm and a Professional Services Firm—demonstrates an ability to thrive in fast-paced consulting as well as large-scale enterprise settings. Combining innovation, governance rigor and commercial savvy, they deliver sustainable, AI-enabled value and position organisations for data-driven success.