Data Solution Architect — AI, Cloud & Enterprise Data

CityFibre; Greater London; Hybrid; GBP 78,000 - 96,000; Full time

Job summary

CityFibre is seeking a Data Solution Architect to shape enterprise data architecture and deliver scalable, cloud-based data platforms. You’ll work with stakeholders to translate complex requirements into practical, secure designs and lead technical decision-making across teams.

Experience with data warehouses/lakes, Snowflake and Databricks, plus exposure to Generative AI, TOGAF or TM Forum is advantageous. Hybrid work with up to two days in the office per week.

Qualifications

• 5+ years delivering enterprise data architecture in large organisations.
• Experience with cloud platforms and data platforms.
• Strong stakeholder management and communication skills.
• Knowledge of governance, data modelling, and integration patterns.
• Familiarity with TOGAF or TM Forum frameworks is a plus.

Responsibilities

• Lead end-to-end solution architecture for data platforms, data products and AI-enabled solutions.
• Collaborate with stakeholders to translate requirements into scalable architectures.
• Evaluate options, risks and dependencies balancing value, cost and delivery.
• Design modern cloud data architectures (lakes, warehouses, lakehouses, integration).
• Set architecture principles, reference architectures and roadmaps for data/AI.
• Provide leadership to engineering and delivery teams and ensure designs are followed.
• Support adoption of Generative AI and intelligent automation to drive value.

Skills

Data architecture

Cloud architecture

Data warehouses

Snowflake

Databricks

Generative AI

Architecture governance

Stakeholder management

TOGAF

Tools

Snowflake

Databricks

Job description

CityFibre is seeking a Data Solution Architect to shape enterprise data architecture and deliver scalable, cloud-based data platforms. You’ll work with stakeholders to translate complex requirements into practical, secure designs and lead technical decision-making across teams.

Experience with data warehouses/lakes, Snowflake and Databricks, plus exposure to Generative AI, TOGAF or TM Forum is advantageous. Hybrid work with up to two days in the office per week.