Salary: £44,000 – 84,000 per year
Requirements
- We are looking for an experienced Data Solutions Architect or similar, with a strong track record.
- We need hands‑on cloud platform expertise across Google Cloud Platform, Azure, or AWS.
- We are looking for a good understanding of Google BigQuery.
- We need expertise in data platform architecture, configuration, and optimisation, particularly with MPP databases such as Google BigQuery.
- We are looking for strong knowledge of data mesh principles, database design, data warehousing concepts, and ETL/ELT processes.
- We need exceptional problem‑solving and analytical skills, with an eye for identifying opportunities for improvement.
- We are looking for excellent written and verbal communication skills, with the ability to explain technical solutions to both engineers and non‑technical executives.
- We require a strong understanding of data security and GDPR requirements.
- A basic DBS check is mandatory for this role.
Responsibilities
- We will rely on you to oversee the design of our data platform architecture, ensuring it meets current and future needs.
- We will ask you to produce clear architectural documentation and diagrams to support understanding and implementation.
- We need you to embed a domain‑oriented ownership model and promote a Data as a Product mindset across development efforts.
- We will expect you to assess and recommend suitable tools, infrastructure, and services to improve our platform.
- We need you to establish and maintain architectural standards, reference architectures, and best practices across the team.
- We will ask you to design solutions that uphold governance, security, and quality requirements.
- We need you to ensure our data products are discoverable, interoperable, and trustworthy.
- We will expect you to design robust data pipelines, including batch, event‑driven, and streaming architectures.
- We need you to address operational concerns such as security, scalability, performance, observability, and user experience.
- We will rely on you to work closely with the Principal Data Platform Engineer and Principal Data Engineer to architect and develop our data platform.
- We need you to act as a trusted advisor on data strategy and platform direction, including data capabilities, trade‑offs, and roadmap development.
- We will ask you to partner with domain squads to design robust data products and provide architectural guidance.
- We need you to mentor engineers and analysts in data modelling, integration, and design best practices.
Technologies
- AWS
- Architect
- Azure
- BigQuery
- Cloud
- ETL
- Support
- Security
More
We are Places for People, the UKs leading Social Enterprise, and we focus on hiring people, not numbers. We are committed to creating inclusive and thriving communities for our customers and employees, and we value people who do the right thing, are enthusiastic, motivated to grow, enjoy community spirit, and are respectful.
Our Data and Platform Engineering team forms the foundation of our Data Office function and is responsible for designing, building, and maintaining our data platform as we continue our journey from on‑premise systems to Google Cloud and build a leading‑edge Data Mesh platform. This is an exciting opportunity to join a growing business function and help shape the architecture and future development of our data engineering capability.
We offer a competitive salary with yearly reviews, pension matched up to 7%, 35 days annual leave with the option to buy or sell leave, a cashback healthcare plan, a 2% bonus scheme, training and development, and a range of retail and leisure discounts. We are a large, diverse, and ambitious business committed to a safe, supportive, inclusive, and accessible recruitment process, with flexible working options available.
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