Lead the design, delivery, and operation of CUBE's data platform. Empowering regulatory compliance solutions using AI with excellent technical leadership.
Responsibilities
Lead the design, delivery, and operation of CUBE's modern data platform.
Build and scale a high-performing Azure-based data platform.
Own the technical vision, roadmap, and delivery of data engineering capabilities.
Establish and enforce data governance frameworks.
Build platform capabilities to support complex analytical queries and AI model training.
Collaborate with Data & AI Engineering leadership, product teams, and architects.
Drive technical delivery through agile practices, managing backlogs and releases.
Champion engineering best practices including CI/CD, infrastructure as code, automated testing.
Optimise platform performance, cost efficiency, and reliability.
Build, develop, and mentor a high-performing team.
Stay abreast of emerging technologies and Azure platform capabilities.
Requirements
Significant experience as a Head of Data Engineering, Lead Data Platform Engineer, or equivalent.
Proven track record of designing and delivering modern data platforms at scale in B2B SaaS or enterprise environments.
Deep expertise in Microsoft Azure data services including Azure Data Factory, Synapse Analytics, Data Lake Storage, and Fabric.
Strong understanding of data architecture patterns for ingesting, transforming, and governing unstructured and semi-structured data.
Experience building data platforms that support AI/ML workloads, including feature engineering, model training pipelines, and inference infrastructure.
Hands-on knowledge of data governance frameworks, including data quality, lineage, cataloguing, and compliance requirements.
Proficiency in modern data engineering tools and practices including Python, SQL, Spark, Terraform, and CI/CD pipelines.
Experience leading and developing engineering teams, with demonstrated ability to recruit, mentor, and build high-performing technical organisations.
Strong understanding of agile delivery practices, backlog management, and technical project execution.
Excellent communication skills to articulate complex technical concepts to non-technical stakeholders and influence executive decision-making.
Benefits
CUBE is a globally recognized brand at the forefront of Regulatory Technology.
Trusted by the world’s top financial institutions globally.
50% growth in 2024, through strategic acquisitions.
Fast-paced, high-performing team.
“Make it happen” culture for personal and professional development.
Operate as one team with a shared mission to transform regulatory compliance.
Diversity, collaboration, and purpose at the heart of success.
Work alongside brilliant minds in AI research and engineering.
Opportunity to develop impactful solutions in regulatory compliance.
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