Data Architect
Role details
Job location
Tech stack
Job description
Please note the content of this advert does not represent a live vacancy.About the opportunityThis is an opportunity to register your interest in future Data Architect roles, positions where you could design and implement scalable data solutions that support critical business operations and enable data-driven decision-making across the organisation.Roles of this type may sit within a collaborative technical environment where you would work alongside engineering, analytics and infrastructure teams to architect data systems that balance complexity, performance and maintainability. The work could involve designing data pipelines, establishing data quality standards, and collaborating with stakeholders to translate business requirements into robust technical solutions.What you would doTypical responsibilities could include:
- Designing data architectures and pipeline solutions that align with business and technical requirements
- Collaborating with stakeholders to gather and document data requirements
- Establishing and maintaining data quality standards and governance frameworks
- Working with distributed systems, APIs and microservices to integrate data sources
- Supporting the implementation of CI/CD practices for data infrastructure
- Mentoring junior team members and contributing to technical standards
- Evaluating and recommending appropriate technologies and platforms
- Participating in code review and design discussions across the data platform, What roles of this type could offerMost roles of this type offer the following, dependent on the industry and seniority of the role:
- The opportunity to design solutions that support data-driven transformation across the business
- Scope to influence data architecture decisions and establish best practices
- Exposure to modern cloud technologies and distributed systems
- Potential progression toward principal or lead architect roles, where supported by performance and business need
- Collaborative working with cross-functional teams and stakeholders
- Continuous learning opportunities in evolving data technologies and practices
- Flexible working arrangements and professional development support
Requirements
- Bachelor's degree in Computer Science or related field (Master's degree preferred)
- Proven experience designing and implementing data architectures and pipelines
- Strong proficiency with SQL and demonstrated experience with data quality analysis
- Experience working with cloud platforms such as Azure, AWS or GCP
- Familiarity with containerisation and orchestration tools such as Docker and Kubernetes
- Knowledge of APIs, microservices and distributed systems architecture
- Experience with infrastructure-as-code tools such as Terraform
- Capability in at least one programming language such as Python, Java or .NET
- Strong stakeholder engagement and communication skills
- Understanding of data governance, compliance requirements and CSDR principles
Nice-to-have experience could include:
- Background with SAP S/4HANA, SAP ECC or SAP RISE environments
- Exposure to business process modelling (BPMN) or data modelling (UML)
- Experience implementing Power BI or similar analytics platforms
- Familiarity with Linux and Windows environments
- Knowledge of QARA, QMS or quality management frameworks