This hybrid role offers a great balance of home and office working. You’ll join your colleagues in your local office at least two days a week.
As the UK’s largest independent full fibre network and wholesale platform of choice, we’re busy setting new standards for what digital infrastructure can and should be.
Our network is greener, more reliable and designed for the future. The products we run over it lead the way on speed, value and service - helping businesses to innovate, communities to thrive, and people to live more connected digital lives.
At CityFibre, you’ll be part of something bigger, helping to build a better-connected Britain, together.
Joining us as a Data Solution Architect
You'll play a key role in designing and delivering modern enterprise data, analytics and Agentic BI solutions, helping to shape CityFibre's AI-powered data platforms and support business transformation through intelligent, trusted and scalable data products.
You’ll receive a competitive salary and a performance related bonus.
This is some of what you can expect to be doing:
- Lead the solution architecture and design of enterprise data platforms, data lakes, data warehouses and AI-enabled analytics solutions
- Design data pipelines, ETL/ELT processes, ingestion frameworks and integration patterns across enterprise systems
- Define and implement BI and Agentic BI architectures using Snowflake Cortex, Snowpark, AWS Bedrock, SageMaker and LLM technologies
- Develop architecture patterns for Retrieval Augmented Generation (RAG), vector search, semantic layers, knowledge graphs and enterprise AI assistants
- Establish governance, security, data quality and Responsible AI standards across data and AI solutions while providing technical leadership to delivery teams
- Create architecture roadmaps, reference architectures and technology standards while identifying opportunities to automate business processes through AI Agents and emerging technologies
What you’ll bring to the role
You'll be an experienced Data Solution Architect with a strong background in enterprise data architecture, cloud platforms, Business Intelligence and AI-enabled data solutions, combined with the ability to translate complex technical concepts into business value.
You’ll also have:
- Extensive experience designing enterprise data platforms, data warehouses, data lakes, data mesh or lakehouse architectures
- Hands-on experience with Snowflake, AWS data services, Python, Spark and data engineering frameworks
- Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI, intelligent automation and AI-powered analytics solutions