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About the Role
We are seeking a Data Architect to lead a greenfield initiative: building the backbone of our new Enterprise Data Warehouse and migrating our data estate to a dimensional modelling environment. You are a builder and architect who is as comfortable writing code and prototyping as you are mapping target architecture. You see how data connects across customer journeys, billing, smart metering, and Partner commissions. You stay pragmatic about delivery, hold clear technical standards, and communicate trade-offs simply and effectively across teams.
Responsibilities
- Provide hands-on technical leadership: Prototype reference architectures, write SQL and Python, build proofs of concept, model core entities yourself, and pair with engineers on complex design and code reviews.
- Design the enterprise lakehouse platform: Own the target architecture and evolutionary roadmap on Google Cloud, applying open lakehouse principles to store data once, avoid vendor lock-in, and serve many analytical and operational engines without duplicate copies.
- Build the core enterprise data model: Define a shared business vocabulary and conformed entities across Energy, Broadband, Mobile, and Insurance, choosing fit-for-purpose modelling patterns (Data Vault, wide analytical tables, operational entities, or ontologies).
- Architect AI-ready & agentic data foundations: Design the semantic layers, rich metadata, retrieval interfaces, and secure agent access patterns that allow GenAI models and AI agents to discover and safely interact with UW data.
- Embed data governance by design: Collaborate with the Data Governance Lead to build automated data quality checks, lineage tracking, access controls, masking, and data contracts into the pipeline infrastructure from day one.
- Establish architecture governance & delivery standards: Lead lightweight architecture decision records (ADRs), create "Golden Path" templates, and agree clean integration contracts and schema evolution standards with engineering teams.
Requirements
- Enterprise platform expertise: Experienced across data engineering, data platforms, or data architecture, and will have acted as a lead data or solution architect designing end-to-end modern data platforms or lakehouses.
- Modern lakehouse mindset: Deep understanding of open lakehouse design and open table formats (such as Apache Iceberg or Delta Lake), keeping data open and portable.
- Practical, multi-paradigm data modelling: Deep, hands-on experience designing data models across Data Vault 2.0, dimensional modelling, entity-centric models, and domain-driven design, with the judgement to choose the right pattern for each job.
- Hands-on coding skills: Strong hands-on coding and query capabilities in SQL and Python, building working proofs of concept and reviewing production code.
- Cloud & streaming foundations: Proven experience with modern cloud data warehouses—ideally Google Cloud (BigQuery, BigLake, Dataplex, Dataproc, Vertex AI)—and designing for operational pipelines and change-data-capture (CDC) using streaming tech (such as Pub/Sub, Dataflow, or Kafka).
- Governance and SDLC engineering: Practical experience building data governance, metadata lineage, quality checks, access control, and privacy directly into platform architecture, supported by CI/CD, Git workflows, and Infrastructure as Code (Terraform).
- AI-ready architecture (desirable): Experience preparing data infrastructure for GenAI and agentic AI—including semantic layers, retrieval (RAG), vector search, knowledge graphs, or Model Context Protocol.
Skills
- SQL
- Python
- Apache Iceberg
- Delta Lake
- Data Vault 2.0
- Dimensional modelling
- Entity-centric models
- Domain-driven design
- Google Cloud
- BigQuery
- BigLake
- Dataplex
- Dataproc
- Vertex AI
- Pub/Sub
- Dataflow
- Kafka
- CI/CD
- Git workflows
- Infrastructure as Code (Terraform)
- GenAI
- Agentic AI
- Semantic layers
- Retrieval (RAG)
- Vector search
- Knowledge graphs
- Model Context Protocol
Location
- Farringdon office
Work Type
- Hybrid working
- Full-Time
Experience Level
- Lead data or solution architect
- Experienced across data engineering, data platforms, or data architecture
Salary/Compensations
- Industry benchmarked salary
Benefits
- Performance bonus: An annual discretionary bonus ranging from 15-40%.
- Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year.
- Electric Car salary sacrifice scheme through Tusker
- Discount on our services
- Coveted Cashback Card for free
- Access to 100s of rewards and discounts through Perkbox
- A matched contribution pension scheme
- Life assurance up to 4x your salary.
- Free mortgage advice
- Financial wellbeing tool.
- Family-friendly policies
- Discounted private health insurance
- Access to an Employee Assistance line
- Free Virtual GP.
- Wellbeing app Unmind supports your mental health.
- Belonging groups that help UW shape an even more inclusive future.
- A commitment to helping you develop your career journey through learning, coaching and new experiences
About the Company
- We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money.
- Data sits right at the heart of our FTSE 250 business, powering everything from half-hourly settlement and billing to customer insight and agentic AI.
Equal Opportunity
- We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered.