Data Architect

Key areas of responsibility

• Architect and assure enterprise data foundations that underpin synthetic environments, enabling high-fidelity simulation, analysis, and integration across customer platform layers.
• Define, maintain, and govern coherent enterprise data models, including documentation of both as-is and to-be states.
• Establish and enforce data standards, naming conventions, and modelling approaches to ensure consistency, interoperability, and reuse across the estate.
• Assure supplier data designs and artefacts, holding the delivery partner to account for alignment with agreed data architecture principles and standards.
• Document data requirements for new and emerging functional needs, including the onboarding of new data types and sources.
• Evaluate data architecture options to support enterprise AI platform development, ensuring data is suitable for advanced analytics and AI use cases.
• Engage with customer technical and operational stakeholders to align data architecture decisions with user needs and platform constraints.
• Provide data architecture governance and assurance across design and live service, ensuring decisions are documented, traceable, and fit for long-term operation.

Key skills, experience and behaviours

• Demonstrable experience operating as a Data Architect at enterprise or organisational scale.
• Proven ability to define, govern, and assure enterprise data models and standards.
• Strong experience documenting as-is and to-be data architectures.
• Ability to assure supplier data designs and hold delivery partners to account.
• Experience supporting data architectures for analytics, AI, or simulation-based systems.
• Strong stakeholder engagement skills, able to influence senior technical and operational audiences.
• Ability to operate with authority and autonomy in complex, ambiguous environments.

•  Experience working in secure, regulated, or government environments.
• SFIA Level 6 capability in Data Architecture or Information Management.
• Experience supporting enterprise AI or advanced analytics platforms.
• Familiarity with data governance frameworks and reference architectures.
• Experience working alongside solution, security, or platform architects

• You are comfortable setting direction and making architectural decisions that have long-term impact.
• You bring clarity and structure to complex data landscapes and evolving requirements.
• You challenge designs constructively and base decisions on strong technical reasoning.
• You value good governance, clear standards, and well-documented decisions.
• You enjoy working as part of a small, high-trust client-side team providing assurance on complex delivery.

Working at Rowden