Senior Data Architect

Are you an experienced Data Architect looking to shape the foundations of secure, mission-critical technology? We are hiring on behalf of a client seeking a hands-on Senior Data Architect to help establish and evolve a shared data platform supporting multiple products and deployment environments. This is an opportunity to take ownership of the architecture behind secure, resilient and high-performance data platforms. You will work across demanding on-premise environments, including air-gapped, disconnected and mission-critical deployments, creating a trusted data foundation for operational systems, analytics and AI-enabled capabilities. The role As Senior Data Architect, you will: • Research, design and lead the development of a shared data platform that can adapt across multiple products and deployment environments. • Define and promote robust architectural patterns for data warehouses, data lakes and wider data management. • Architect and guide the implementation of data pipelines supporting operational, analytical and AI workloads. • Establish architecture standards and schema management practices for structured, semi-structured, unstructured, time-series, geospatial and binary data. • Design solutions for on-premise, air-gapped, disconnected, low-latency and security-sensitive environments. • Work closely with internal and external stakeholders to ensure technical delivery aligns with the wider strategy and product roadmap. • Provide architectural direction while remaining close to the practical implementation of the platform. What you will bring • At least eight years’ professional experience in data engineering, software architecture or a related discipline. • Strong expertise in data architecture, platform design and data management. • Experience with relational and non-relational databases. • Knowledge of distributed processing technologies, messaging and integration patterns, and orchestration tools. • Experience in data retention, archival, lifecycle management and long-term data stewardship. • A good understanding of data governance, security architecture, access controls, auditing and compliance. • A Master’s degree, or equivalent qualification, in computer science or a related field. • Excellent analytical, problem-solving and debugging skills. • The ability to communicate complex technical concepts clearly to different stakeholders. • A flexible, practical approach and the ability to perform effectively in changing, high-pressure project environments. • Upper-intermediate or higher written and spoken English. Apply today If you are ready to influence the development of a shared data capability at the heart of mission-critical products, we would like to hear from you. Apply today or contact Julius Bautista at Aspire Technology for a confidential discussion. Julius will be managing applications and supporting candidates throughout the recruitment process. Show more Show less

At least eight years’ professional experience in data engineering, software architecture or a related discipline. Master’s degree, or equivalent qualification, in computer science or a related field. A good understanding of data governance, security architecture, access controls, auditing and compliance. Upper-intermediate or higher written and spoken English.

Research, design and lead the development of a shared data platform that can adapt across multiple products and deployment environments. Define and promote robust architectural patterns for data warehouses, data lakes and wider data management. Architect and guide the implementation of data pipelines supporting operational, analytical and AI workloads. Establish architecture standards and schema management practices for structured, semi-structured, unstructured, time-series, geospatial and binary data. Design solutions for on-premise, air-gapped, disconnected, low-latency and security-sensitive environments. Work closely with internal and external stakeholders to ensure technical delivery aligns with the wider strategy and product roadmap. Provide architectural direction while remaining close to the practical implementation of the platform.