such as TOGAF and familiarity with GDS standards. Key Responsibilities: Design and lead the development of enterprise-scale solutions using Spring Boot Java , Node.js , AWS, event-driven and Microservices Architecture Engage with public sector clients to translate business challenges into secure, reliable and scalable architectural solutions Work collaboratively with … initiatives and capability building Required Experience & Skills: 16+ years’ experience as an solution architecture Proven technical leadership in Spring Boot , Node.js , REST APIs and AWS (including Lambda, S3, RDS, EventBridge, ECS Fargate, Secret Manager, API Gateway etc). Experience designing event-driven , microservices-based architectures and working with … updated with emerging technologies and applying them in solutioning. Desirable/Nice to Have: Familiarity with GDS (Government Digital Services) guidelines and assessment processes AWS Solutions Architect – Professional or Associate certification Experience with DevOps, CI/CD, Docker/Kubernetes, and infrastructure-as-code tools (Terraform, CloudFormation) Experience with More ❯
Leeds, West Yorkshire, Yorkshire and the Humber Hybrid / WFH Options
Viqu
level knowledge of Databricks platform for logistics applications - Advanced Python development skills - Deep understanding of SQL optimization for large-scale operations - Proven experience with AWS technologies (EC2, Lambda, Fargate, ECS, CDK) - Strong background in streaming and batch Spark workloads What We're Offering: - Flexible working arrangements - Up to More ❯
of concept. Ensure performance, security, and scalability of data solutions. Key Requirements of the Data Solutions Lead: Expert in Databricks (experience with Databricks on AWS or Azure). Strong Python and SQL skills for logistics and delivery optimisation. Background in solution design and business engagement. Understanding of AWS (e.g., EC2, Lambda, Fargate) is beneficial. Degree in Computer Science, Engineering, or similar; Master’s preferred, with 8+ years in data engineering and leadership. Experienced in Spark workloads, data modelling, and pipeline optimisation. Skilled in mentoring, stakeholder communication, and technical documentation. Familiarity with security standards (e.g., NIST, PCI More ❯
