Chief Data Engineer

Candidate Description

With over twelve years navigating the global data and analytics landscape, this professional excels in transforming complex business challenges into value-driven solutions. Adept at architecting enterprise data strategies and leading high-performing engineering teams, they combine deep expertise in machine learning, GenAI and cloud platforms with a passion for innovation. Their background spans financial services, consulting and retail domains, underpinned by a strong foundation in big-data processing and customer-privacy safeguards.

Demonstrating technical acumen through mastery of AWS, Apache Spark, Snowflake and Hadoop ecosystems, they have engineered large-scale data warehouses exceeding 10 petabytes and implemented metadata-driven ETL frameworks that cut delivery timelines dramatically. Landmark achievements include launching ML-enabled fraud-detection solutions at a Financial Institution saving more than AUD 228 million and building Australia s largest MLOps platform that slashed model deployment cycles from a month to a week. Their work regularly incorporates CI/CD practices, governance controls and cutting-edge tools such as H2O.ai, DBT and Streamlit.

A collaborative leader and persuasive communicator, they guide cross-border teams of 120+ engineers, mentor emerging talent and partner with executives to drive strategic initiatives. Their adaptability across geographies and industries, coupled with patented innovations in data access and mainframe processing, underscores a unique ability to push boundaries and deliver tangible impact. Organisations seeking a visionary data-engineering leader with proven execution capability will find exceptional value in this individual s blend of technical depth, strategic insight and inspirational leadership.