Data Architect

Our Vacancy# Data Architect
* Nuclear* Permanent / Digital
* Culham* United Kingdom
* 23/02/26
* On site
* Share##

Job Description The Data Architect is accountable to the Digital Capability Project Manager for providing industry knowledge, experience, and best practice in data modelling, systems, structures, and related technologies, ensuring compliance with applicable regulatory and legal requirements. Responsible for designing, creating, managing, and optimising data systems and structures to support the programme’s data needs, ensuring efficient data flow, storage, accessibility, and integration across multiple platforms while maintaining data quality and integrity.

Collaborate with  IT, technical/engineering, and business teams, as well as relevant third parties and key contractors, to develop data models, define database structures, and ensure alignment with  Programme goals, working closely with the Programme Systems Engineering team. Focus on data security, compliance, and performance, designing systems that support both current and future Programme data requirements, playing a crucial role in shaping the programme’s overall data strategy and architecture.

Establish an effective, integrated data architecture within the Programme to enable long-term success through robust strategy, tools, and processes, requiring strong domain expertise, tact, and pragmatism. Liaise closely with key programme stakeholders (business and technical) and stakeholders across the wider organisation to ensure cohesive and effective delivery. Work with the Programme commercial team to support preparation of tender documentation for the appointment of a Tier 1 contractor, ensuring data requirements and best practice are fully reflected within scope documents.

** Accountabilities:
** Design and build data models that fulfil the organisation’s strategic data needs. Support the development of commercial strategies covering Tier 1 and Tier 2 contracts, ensuring required data architecture activities are incorporated into programme schedules. Design, support, and oversee the upgrade, management, decommissioning, and archiving of data, ensuring compliance with internal data policies and regulatory requirements. Provide expertise in the development and maintenance of data dictionaries, ensuring consistency and clarity in data terminology and definitions across the organisation.

Define and maintain the data technology architecture, including metadata management, data integration, and business intelligence (BI) or data warehouse architecture. Ensure optimal data flow across multiple platforms, designing systems for scalability, efficiency, and seamless integration. Collaborate closely with business analysts, digital systems engineers, and data scientists to ensure alignment with business goals and data strategies. Manage data governance and best practices, contributing to the implementation of data quality standards, security protocols, and compliance frameworks such as GDPR and CCPA.

Provide advice and guidance to other project teams as required.
** Essential:
** Degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience in data architecture. Proven experience designing and implementing large-scale data architectures, including data modelling, storage, and retrieval systems. Strong knowledge of database technologies, both relational (e.g., SQL Server, Oracle) and No

SQL (e.g., Mongo

DB, Cassandra).

Experience with cloud platforms such as AWS, Azure, or Google Cloud for scalable and efficient data storage and processing solutions.

Experience of delivery model assessment processes, including decision-making criteria for in sourcing or outsourcing services and evaluating assessment outcomes. Expertise in data warehousing, data lakes, and ETL (Extract, Transform, Load) processes. Knowledge of data integration techniques to ensure seamless data flow across multiple systems and platforms. Familiarity with big data technologies such as Hadoop, Spark, or Kafka for managing large datasets. Strong understanding of data governance, including security, compliance, and privacy…