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Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

Lead accounting and financial operations including month/quarter/year-end close, forecasting, budgeting, cash flow modelling, IFRS compliance, audit liaison, team leadership, and financial reporting to support strategic decisions and drive process automation.

Lead data and systems analysis within Agile delivery teams: gather and document business and technical requirements, create and validate detailed user stories and data specifications, run workshops, manage Jira backlog, liaise with data suppliers/consumers, and support testing and validation to ensure solutions meet stakeholder needs.

Lead design, build, test and automate secure cloud environments and data platforms using IaC and CI/CD. Develop automation, maintain scripts, support production incidents, perform gap analysis, contingency planning and documentation, and mentor engineering teams to deliver secure, high-performance deployments.

Lead architecture and delivery of secure, scalable cloud-native microservices across multi-cloud environments. Design solutions using Java/Kotlin, Spring Boot, Kafka and Kubernetes; champion DDD and event-driven design; mentor engineers; enforce best practices for CI/CD, observability, testing, and security; collaborate with Product, DevOps, and Security to drive platform evolution and incident resolution.

Lead the development of backend platforms for national security and defence clients, leveraging cloud technologies and Agile methodologies, while ensuring operational responsibility for services and collaborating in cross-functional teams.

Design, build, test and document secure batch and real-time data pipelines, perform logical/physical database design and data modelling, expand platform capabilities, analyse and resolve data processing issues, and ensure alignment with data architecture for downstream consumers.

Build, test, and document secure batch and real-time data pipelines for a government client; design logical and physical databases; extend platform capabilities; ensure data models align with architecture; perform data analysis and root-cause investigations to improve processing and availability for downstream consumers.

Lead development, deployment and operation of backend services for a secure enterprise data platform. Design and implement scalable, low-latency features, participate in Agile teams, build and operate CI/CD pipelines, maintain service ownership, and apply best engineering practices including TDD, code reviews, and automated testing.