AI Data Architect

• Design, implement, and maintain enterprise data architectures across cloud and hybrid environments.
• Lead architecture for large-scale Snowflake deployments, including modelling, governance, security, and performance optimisation.
• Define and deliver AI-driven data solutions, working closely with data science and engineering teams.
• Provide architectural oversight across multiple programmes, ensuring alignment with standards and governance frameworks.
• Produce architectural artefacts using industry-standard tools (Archimate, TOGAF, UML, Sparx Enterprise Architect, Lucid, etc.).
• Ensure data architectures meet stringent security, compliance, and governance requirements - particularly within secure, regulated sectors.
• Act as a technical authority and trusted advisor for senior stakeholders.

• Proven experience as a Data Architect within enterprise environments.
• Hands-on expertise with Snowflake (architecture, modelling, security, governance).
• Strong understanding of AI/ML platforms, data pipelines, MLOps, and integrating AI into data architectures.
• Active Security Clearance (SC or DV).
• Proficiency with architecture frameworks and tools (TOGAF, ArchiMate, UML, etc.).
• Strong knowledge of cloud platforms (Azure, AWS, or GCP).
• Excellent communication and stakeholder management skills.

Desirable Experience

• Exposure to government, defence, or other highly regulated sectors.
• Knowledge of Databricks, Python, dbt, or Kafka.
• Experience designing Real Time/streaming architectures.
• Certification in Snowflake, cloud architecture, or TOGAF., If you're an experienced Data Architect with a passion for AI, cloud platforms, and secure enterprise data solutions, we want to hear from you.