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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Domain Architect - **Company:** Places for People - **Location:** Nottingham, UK - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, BigQuery, Encodings, Databases, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Database Design, Interoperability, Google Cloud, Cloud Platform System, Data Strategy, Google Bigquery, Data Management, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://www.totaljobs.com/job/domain-architect/places-for-people-job107804897 ## About the Role As an experienced and talented Data Solutions Architect, you possess a proven track record alongside hands-on cloud platform expertise spanning Google Cloud Platform, Azure, or AWS. Your innovative approach is characterised by a commitment to researching emerging technologies, ensuring the most effective solutions are identified for any given challenge. When faced with problems, you demonstrate logical thinking, systematically breaking them down into actionable outcomes and documenting your proposals comprehensively. Ownership and Leadership You are recognised for taking ownership and responsibility, proactively advancing the data platform while maintaining a vigilant stance to minimise risks consistent with business appetite. Your strong understanding of building robust data mesh architectures is complemented by thorough knowledge of data security and GDPR requirements. Collaboration and Communication Your engagement with the broader data community enables you to gain valuable insights into their needs, fostering trusted relationships across IT and throughout the business. Your ability to communicate clearly and concisely with non-technical stakeholders ensures they fully understand the objectives, rationale, and methodology behind proposed solutions. Drive and Mentorship Self-motivated and equipped with excellent leadership skills, you consistently drive innovation and actively mentor team members, further enhancing the capabilities and cohesion of your team. Experience & Skills * Experience as aDataSolutions Architect or similar role with strong track record. * Good understanding of Google's Big Query platform. * Expertise in data platform architecture, configuration, and optimisation with a focus on MPP databases like Google BigQuery. * Strong knowledge of data mesh principles, database design, data warehousing concepts, and ETL/ELT processes. * Exceptional problem solving and analytical skills with an eye for identifying opportunities for improvement. * Excellent communication skills both written and verbal with the ability to explain in detail technical solutions to engineers and at high level to non-technical executives ## Description The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining PfP's data platform we extract data from source, transform it into a usable format, load it into consumer models and martsand build and manage the infrastructure to do all this work. Data Engineering are transforming the way PfP consumes data. Having transitioned from On Premise to Google Cloud we are in the process of building a leading-edge Data Mesh platform. This is an exciting time to join a growing business function, with the opportunity to make your mark defining the architecture of the data platform and the continued development of the data engineering function. The Role of the Data Architect The Data Architect occupies a pivotal position within our data engineering team, driving both strategic and enabling initiatives. This individual is instrumental in ensuring that our data platform supports decentralisation, in line with data mesh principles. Furthermore, the Data Architect guarantees that our data products are interoperable, well-governed, and consistently aligned with both enterprise standards and the overarching data platform. Key Responsibilities * Data Platform Architecture Design: Overseeing the comprehensive design of the data platform's architecture, ensuring it meets current and future needs. * Architectural Documentation: Producing clear, detailed architectural documentation and diagrams to facilitate understanding and implementation. * Domain-Oriented Ownership: Embedding a domain-oriented ownership model and fostering a Data as a Product (DaP) mindset across all development efforts. * Tool and Service Evaluation: Assessing and recommending the most suitable tools, infrastructure, and services to enhance the platform. * Architectural Standards: Establishing and maintaining architectural standards, reference architectures, and best practices throughout the team. * Governance: Designing solutions that uphold governance, security, and quality requirements. * Data Product Design Standards: Ensuring that data products are discoverable, interoperable, and trustworthy, adhering to high standards. * Data Pipeline Design: Designing robust data pipelines, including batch, event-driven, and streaming architectures. * Operational Considerations: Addressing operational concerns such as security, scalability, performance, observability, and user experience. Collaboration and Advisory Functions The Data Architect works closely and collaboratively with the Principal Data Platform Engineer and the Principal Data Engineer to architect and develop the data platform. In this capacity, the Data Architect acts as a trusted advisor on data strategy and platform direction, providing valuable input on data capabilities and trade-offs, and making significant contributions to the development of the data roadmap. In addition, the Data Architect partners with domain squads, assisting them in designing robust data products and providing architectural designs and technical guidance. The role also encompasses the mentorship of engineers and analysts in areas such as data modelling, integration, and design best practices, thus strengthening the overall technical capability of the team. At Places for People, we are committed to a safe working environment so a basic DBS check is mandatory., As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on . We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours. If you are a recruitment agency please note we operate a PSL and do not take cold calls Safeguarding At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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