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.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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