Summary
Alexander Young is an Architecture Specialist and enterprise solution architect with nine years' experience designing data engineering, AI and lakehouse solutions for manufacturing, energy, water and financial sectors. He combines hands-on data engineering and ML production experience with client-facing leadership from roles at Databricks and senior consultancy positions, having led global Unity Catalog rollouts and built IoT, digital twin and geospatial feature store patterns. He now runs his own contracting firm helping organisations scale lakehouse patterns, MLOps and target operating models for data science functions. His background spans end-to-end delivery—from Azure/Synapse/Databricks implementations and Spark ML models that outperformed project managers’ forecasts to building custom React/D3 reporting tools—reflecting both technical depth and product-minded delivery. Based in Leeds, he blends an economics-and-finance undergraduate foundation with a Master’s in Data Science, giving him a pragmatic view of data-driven business impact that often surfaces in pre-sales and go-to-market strategy work.
9 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Economics and Finance, Bachelor's Degree Economics and Finance at The University of Manchester
Master’s Degree Data Science, Master’s Degree Data Science at University of Southampton
High School Economics Computering Maths, High School Economics Computering Maths at Leeds Grammer School
English, Spanish