Data Architect
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Job description
This is an opportunity to register your interest in future Data Architect positions within organisations modernising their data infrastructure and analytics capabilities. Roles of this type may sit within teams responsible for designing and implementing enterprise data solutions, ensuring data flows reliably across cloud platforms, microservices architectures and distributed systems. The work could involve collaborating with stakeholders to gather data requirements, aligning data pipelines with business objectives, and establishing data quality standards that support downstream analytics and decision-making., * Designing scalable, resilient data architectures across cloud platforms (Azure, AWS, GCP) and hybrid environments
- Gathering and translating data requirements from business stakeholders into technical specifications
- Aligning data pipelines and ETL processes with business objectives and analytical needs
- Evaluating and recommending data platforms, tools and technologies (including SAP S/4HANA, SAP ECC, SAP RISE integrations where relevant)
- Establishing data quality frameworks and governance standards to ensure data accuracy and consistency
- Collaborating with engineering teams on microservices design, API-first architectures and distributed system patterns
- Contributing to infrastructure-as-code initiatives (Terraform, CI/CD pipelines) and containerisation strategies (Docker, Kubernetes)
- Engaging with cross-functional teams to ensure data solutions support operational and analytical workloads
- Supporting the design and documentation of data models, schema design and integration patterns (BPMN, UML), Most roles of this type offer the following, dependent on the industry and seniority of the role:
- The opportunity to shape data strategies that support critical business decisions and enterprise transformation
- Exposure to modern cloud technologies, distributed systems and microservices architectures
- Collaborative, cross-functional working with engineering, analytics and business teams
- The scope to develop architectural thinking and systems design expertise
- Potential involvement in high-impact data modernisation and platform migration projects
- Professional development through exposure to emerging technologies and industry best practices
- Contract-based flexibility with opportunities to work on diverse, technically challenging engagements
Requirements
- Demonstrated experience designing and implementing enterprise data architectures and data systems
- Strong technical knowledge of cloud data platforms and distributed systems (Azure, AWS or GCP)
- Experience with data pipeline design, ETL/ELT processes and data quality analysis
- Solid understanding of microservices architectures, APIs and integration patterns
- Proficiency in SQL, data modelling and schema design
- Familiarity with containerisation and orchestration (Docker, Kubernetes) or infrastructure-as-code (Terraform)
- Master’s degree in Computer Science or equivalent technical qualification
- Right to work in the United Kingdom
Nice-to-have
- Experience with SAP S/4HANA, SAP ECC or SAP RISE implementations
- Knowledge of Power BI or advanced analytics tooling
- Exposure to distributed systems frameworks (Spring Boot, ASP.NET) or modern programming languages (Python, Java)
- Understanding of data governance, CSDR compliance or quality management systems
About the company
SThree is the global STEM workforce consultancy. We advise businesses, build expert teams and deliver project solutions to outpace tomorrow, together.
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