Head of Engineering

Candidate Description

Marked by an entrepreneurial mindset and deep technical acumen, this engineering leader offers more than a decade of experience building high-performance, real-time platforms within regulated sports-betting, government and consulting environments. They combine expertise in distributed Rust services, low-latency streaming with a Data Streaming Platform and Kafka, and cloud-native architectures on AWS, Azure and GCP to deliver resilient, data-driven solutions. Breadth of exposure spans sports analytics, financial services and public-sector organisations, underpinned by strong stakeholder engagement and governance capabilities.

Adept at architecting high-throughput systems, they have delivered sharded micro-services processing over 110 k events per second, modernised monolithic estates to cloud-native stacks and embedded observability, CI/CD and data-quality frameworks at scale. Key achievements include halving analytics infrastructure costs at a Technology Company by consolidating onto Iceberg and Trino, driving 30 % reduction in mapping issues through LLM-based entity resolution at a Sportsbook Company, and earning finalist recognition at the 2023 Australian Sports Technology Awards for athlete-facing products at a Government Sports Institute. Their toolkit spans Rust, Python, Apache Spark, Databricks, Kubernetes, Airflow, dbt and modern DevOps practices, complemented by certifications such as CAPM® and CSM®.

Beyond technical delivery, this professional excels at building and leading multidisciplinary teams—hiring, mentoring and instituting Agile ways of working for groups ranging from start-ups to government agencies. Comfortable negotiating with vendors, steering technical strategy and teaching emerging technologies at a Business School and an Education Provider, they adapt readily to diverse domains and complex stakeholder landscapes. Their blend of strategic vision, hands-on engineering and leadership experience positions them to drive innovation and business value in demanding, data-intensive environments.