Principle Engineer

Candidate Description

With over two decades navigating data-intensive environments, this senior technical leader excels in architecting and delivering enterprise-scale Business Intelligence, data-warehouse and analytics platforms. Holding pivotal roles such as Principle Engineer at a Major Betting Company, Head of Data & Analytic at another Major Betting Company and Information Architect at a Financial Institution, they blend deep expertise across AWS, Azure and Databricks with an innate ability to translate business visions into robust, high-performing data solutions.

Their technical acumen spans Lakehouse architecture, streaming data pipelines, ETL frameworks and governance tooling. Adept in technologies such as Apache Spark, Snowflake, Redshift, Power BI and Azure Data Factory, they have directed cloud-migration programs, instituted real-time self-service analytics and embedded AI/ML capabilities to drive commercial outcomes. Achievements include enabling a Major Betting Company's near real-time insights through Delta Live Tables, leading another Major Betting Company's successful Snowflake migration, and scaling a Major Betting Company's Data Vault-based warehouse that fuelled exponential growth—all delivered through agile, SDLC-aligned practices.

Combining strategic vision with hands-on delivery, this professional builds high-performing teams, mentors engineers and forges strong stakeholder relationships across marketing, finance and operations. Their skill in championing data-driven cultures, orchestrating cross-department collaboration and steering cutting-edge proof-of-concepts positions them as a transformative leader capable of elevating any organisation's analytics maturity and competitive edge.