Data Architect (London)

Job reference 325348
Data Architect
Competitive salarypluscar allowance, healthcare, 18% annual bonus potential, 25 da ys annual leave plus bank holidays rising with service and a company pension scheme with highly competitive contribution rates
Permanent, Full time

London Farringdon x3 days a week.

Extra Benefits

• Family friendly support – enhanced maternity pay, paternity leave, adoption leave and shared parental leave
• Discounts and offers – there are more than 800 offers to help you save on things like groceries, days out, holidays and your household bills*.
•Supportive and generous company sick pay
• Your Wellbeing -you and your family have 24/7 access to services and tools to help you get the most out of life. From your physical and mental health to financial and social support and advice. It’s free, and it’s for everyone.
*Available only to perm employees

DATA ARCHITECT

We are recruiting for 3x Data Architects with Google Cloud experience. The Data Architects will join our collaborative and forward-thinking team. This is an exciting opportunity to be a key driver in our business and technology evolution, where your contributions to high-level design, value creation, efficiency gains, and innovative solutions will be highly valued. As Data Architect, you'll be empowered to design and implement our data strategy and roadmap, and build out our next-generation data platform. You'll thrive as the vital link between our stakeholders, external partners, and the project team, transforming business requirements into reusable data assets and products that seamlessly integrate with our broader technology and data strategy. Your work will be critical in modernising our existing systems and reducing technical complexities, allowing us to innovate faster and more effectively.

Key accountabilities

• Developing and Articulating Data Strategy: Defining the overall vision, principles, and roadmap for how data will be managed, structured, governed, and utilized across the organization to achieve business objectives alingned to the overall data and technology strategy.
• Defining Data Architecture Principles and Standards: Establishing clear guidelines, standards, and best practices for data modelling, data integration, data security, data quality, and metadata management.
• Creating and Maintaining Data Architecture roadmaps: Designing high-level conceptual, logical, and physical data models and architectures that align with business needs and technology capabilities.
• Providing Architectural Guidance and Leadership: Serving as the subject matter expert for data architecture, providing guidance and direction to development teams, data engineers, and other stakeholders.
• Staying Abreast of Emerging Technologies: Continuously learning and evaluating new data management technologies, trends, and methodologies to identify opportunities for innovation and improvement.
• Aligning Data Architecture with Business Strategy: Ensuring that the data architecture supports and enables the organization's strategic goals and initiatives
• Designing Data Models: Creating and maintaining conceptual, logical, and physical data models that are scalable, performant, and meet business requirements aligned to our data product strategy
• Designing real time Data Integration and ETL/ELT Processes: Architecting solutions for moving, transforming, and integrating data from various sources into target systems.
• Designing Data Warehousing and Business Intelligence Architectures: Developing the blueprints for data warehouses, data marts, and BI platforms to support reporting and analytics
• Designing Data Products: Creating scalable and flexible architectures for storing and processing large and diverse datasets
• Establishing and Enforcing Data Standards: Ensuring adherence to established data architecture principles, standards, and best practices across all data-related projects.
• Defining and Implementing Data Governance Policies: Contributing to the development and implementation of data governance frameworks, including data quality, data ownership, and data lineage.
• Communicating Data Architecture Concepts: Clearly and effectively communicating complex data architecture concepts to both technical and non-technical audiences.
• Collaborating with Stakeholders: Working closely with business users, analysts, data scientists, and IT teams to understand their needs and translate them into architectural solutions.

Key Skills required:

• GCP Experience – Hands on experience on development experience with GCP
  – Python and Java experience
  – Experience building data reporting and analytics

Next Steps

The next stage of the selection process will be a face to face/virtual interview consisting of competency based and role specific questions.

We understand that candidates may not meet all the criteria for the role. If your experience is different, but you have relevant skills we’d love to hear from you.

Royal Mail Group is committed to inclusion and representing the diverse communities we serve. We welcome applications from all individuals. As a proud Gold signatory to the Armed Forces Covenant, we especially encourage applications from the Armed Forces community, including cadet instructors and spouses/partners.

We are committed to ensuring an inclusive recruitment process. If you require any adjustments to support you during the hiring process, please discuss these with your recruiter when contacted.

We are Forces family friendly and a Gold signatory to the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors and military spouses/partners.

For more information on Royal Mail Group and our values please click here:

Closing Date: 18th June 2025 Please note, this advert may close early if the appropriate number of applications has been reached.

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