Senior Data Architect - Hybrid, AI-Driven Data Strategy

Cyber Security training courses; Bath; Hybrid; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Hybrid working

Competitive package

Job summary

Cyber Security training courses in the UK is seeking a Senior Data Architect to lead data strategy, architecture and governance across enterprise platforms. The role will drive analytics, ML and AI initiatives while ensuring data quality and regulatory alignment.

You will collaborate with technology, data, security and business teams, providing hands-on architectural leadership from day one and shaping data roadmaps for regulated financial services environments.

Qualifications

• 3+ years' experience as Senior Data Architect or equivalent.
• Strong expertise in data architecture, modelling and information management.
• Experience designing modern data platforms for analytics, reporting and ML.
• Knowledge of data governance, lineage, metadata management and data quality.

Responsibilities

• Define and evolve enterprise, domain and data architectures.
• Design logical and physical data models for operational, analytical and AI use cases.
• Establish architecture standards, patterns and governance frameworks.
• Provide technical leadership and architectural assurance across delivery teams.
• Collaborate with stakeholders across technology, data, analytics, security and business functions.
• Drive data governance, lineage, metadata management and data quality practices.
• Support strategic data initiatives, investment planning and roadmaps.
• Ensure solutions meet regulatory, security, resilience and performance requirements.
• Mentor teams and promote strong architectural practices.

Skills

Data architecture

Data modelling

Information management

Data governance

Standards & principles

Stakeholder management

Architectural leadership

Job description

Cyber Security training courses in the UK is seeking a Senior Data Architect to lead data strategy, architecture and governance across enterprise platforms. The role will drive analytics, ML and AI initiatives while ensuring data quality and regulatory alignment.

You will collaborate with technology, data, security and business teams, providing hands-on architectural leadership from day one and shaping data roadmaps for regulated financial services environments.