Data Systems Architect
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Role details
Tech stack
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Job description
We are looking to register interest in future Data Systems Architect opportunities. These roles could involve designing scalable data infrastructure that supports modern business intelligence and analytics initiatives, working with cloud platforms, microservices and distributed systems to enable organisations to make data-driven decisions at scale., This is an opportunity to register your interest in future Data Systems Architect roles, positions where you could take ownership of designing and building robust data systems that serve as the foundation for analytics and business intelligence across the organisation. Roles of this type may involve working with cross-functional teams to understand data requirements, architect pipelines and infrastructure, and ensure data quality across complex, distributed environments. You could work with modern cloud platforms such as Azure and AWS, containerisation technologies like Docker and Kubernetes, and a range of programming languages and frameworks to build systems that scale., * Gathering and translating data requirements from business stakeholders into scalable system architecture
- Designing data pipelines and infrastructure to support analytics, reporting and real-time data consumption
- Working with microservices and distributed systems to ensure data flows reliably across the organisation
- Taking responsibility for data quality frameworks and validation approaches across pipelines
- Collaborating with engineering and analytics teams to align data architecture with business needs
- Building and documenting data models using tools such as UML and BPMN where appropriate
- Evaluating and implementing appropriate technologies from the cloud, containerisation and data platform landscape
- Contributing to CI/CD practices and infrastructure-as-code approaches using tools such as Terraform
Requirements
- Strong experience designing data systems and architectures, with demonstrated expertise in data pipelines and data quality frameworks
- Proficiency with at least one major cloud platform (Azure, AWS or GCP) and containerisation technologies (Docker, Kubernetes)
- Experience with data requirements gathering and stakeholder engagement in data initiatives
- Solid understanding of distributed systems, microservices architecture and APIs
- Hands-on experience with SQL and modern data tools; familiarity with Python or similar languages
- Bachelor’s degree in Computer Science or equivalent professional experience; Master’s degree preferred
- Right to work in the United Kingdom
Nice-to-have
- Experience with enterprise data platforms such as SAP S/4HANA, SAP ECC or SAP RISE
- Familiarity with BI tools such as Power BI
- Knowledge of CI/CD practices and Infrastructure-as-Code tools
- Experience with Java, Spring Boot, .NET or React in a data systems context
Benefits & conditions
Most roles of this type offer the following, dependent on the industry and seniority of the role:
- The opportunity to design systems that directly impact how organisations harness data for competitive advantage
- Scope to work with modern, scalable cloud and containerisation technologies
- Exposure to complex architectural challenges across distributed, enterprise environments
- Collaboration with talented data, engineering and analytics teams
- Potential to shape data quality and pipeline standards across the organisation
- Professional development opportunities in cloud platforms, data architecture and emerging technologies
- The flexibility and autonomy often associated with contract roles, allowing you to work on high-impact projects
About the company
SThree is the global STEM workforce consultancy. We advise businesses, build expert teams and deliver project solutions to outpace tomorrow, together.
Across the UK, we connect talented specialists with cutting-edge opportunities across technology, engineering, life sciences and financial services supported by our offices in London, Birmingham, Manchester, Glasgow and Leeds
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