Date Posted:

2026-03-06

Country:

United Kingdom

Location:

Harlow, Essex

Position Role Type:

Hybrid

Job Title: Data Architect

Grade: M4

Function: DT

Location: Harlow (Hybrid)

Clearance: SC Eligible

Duration: Fixed Term Contract – 12 months

Hours: Full Time – 37 hours per week

Raytheon UK

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.

About the role:

We are seeking an experienced Data Architect to help establish a newly created data practice within the Digital Technology function. This is a pivotal role in shaping the foundations of an enterprise‑wide data capability, setting direction for data architecture, governance, processes, and technology choices that will underpin a major transformation programme.

You will be aligned to a financial planning transformation programme, and you will help design and implement a new data platform, working closely with enterprise architects, delivery teams, and core platform system owners. You will play a central role in enabling the creation, integration, and consumption of high‑quality, compliant, trustworthy data across the organisation to fulfil organisational needs.

This is an opportunity for a strategically minded and hands-on architect who can operate confidently in a highly regulated environment with complex data requirements and regulatory obligations.

Key Responsibilities:

Data Architecture & Platform Design:

• Help define the enterprise data architecture vision, standards, and roadmap.
• Aid in the design the initial data platform to support integration with core systems and future enterprise-scale data needs.
• Evaluate, recommend, and drive the adoption of modern data technologies, tools, and patterns (e.g., data lakehouse, ETL/ELT, event streaming, metadata management).

Data Practice:

• Help establish the foundational processes for data modelling, data quality, metadata, lineage, security, and governance.
• Build and lead a small team of data professionals (e.g., data engineers, analysts, stewards).
• Embed architectural best practices and influence stakeholders across the business to adopt a data‑driven approach.

Transformation Delivery:

• Embed in a global ERP transformation programme teams to define data interfaces, and flows whilst keeping security requirements paramount.
• Ensure data solutions integrate effectively with financial and operational systems.
• Provide architectural oversight and assurance across data design and implementation activities.

Regulatory & Risk Management:

• Ensure all data-related solutions comply with relevant regulatory frameworks and internal risk controls.
• Interpret complex regulatory requirements into actionable architectural principles and system designs.
• Champion secure and ethically responsible data management practices.

Collaboration & Stakeholder Engagement:

• Partner closely with the wider DT Architecture function to align data architecture with enterprise technology strategies.
• Engage senior stakeholders to articulate the need for modern data capabilities.
• Provide expert guidance to business and technology teams on data standards and integration patterns.

Candidate requirements

Essential:

• Proven experience as a Data Architect in a complex, highly regulated environment.
• Track record of designing and implementing enterprise data platforms or large-scale data architectures.
• Strong knowledge of data modelling, integration patterns, data governance, data quality frameworks, and security controls.
• Experience selecting and implementing modern data technologies (cloud data platforms, pipelines, storage layers, catalogues, etc.).
• Exceptional communication and stakeholder engagement skills, with the ability to influence at senior levels.
• Comfortable driving a data agenda in environments with legacy systems, evolving requirements, and strong regulatory constraints.

Desirable Skills:

• Experience working with finance systems and associated data structures.
• Familiarity with cloud platforms (Azure, AWS, or GCP), especially modern data stack tools.
• Background in enterprise transformation programmes.
• Knowledge of regulatory domains such as GDPR, financial reporting standards, or sector‑specific data controls.

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