Data Architect

Bedford
1 week ago
Create job alert

Data Architect

Bedfordshire - Hybrid - 2 days per week (Flexible)

£90k - £110k plus Benefits

The Role

Our client is a leading Digital Transformation company who are revolutionising their industry. They are looking for an exceptional Data Architect to play a crucial role in the success of the Programme they are running.

As they approach the second major release of the Programme, the requirement has arisen for someone to join the team to support the introduction of their own Engineering capability and embed engineering best practice and technical excellence alongside our new Head of Software Engineering.

This function currently forms part of the services provided by the development partner we have been working with during the early stages of the Programme. This new role requirement is part of a strategic decision to bring more capability inhouse within the Digital team. You would initially be working closely with the development partner as part of the handover of the responsibility for the administration of the Tenancy, as well as working with the rest of the core Digital team, including a newly formed engineering function.

As with all of their core roles, this is a hybrid role. They try to ensure their core team are in the office 2 days per week. They are based in Bedfordshire. The office is open 5 days a week should you require it, otherwise, home working will be required for the remaining time. The role is open to applicants in the UK and holding the necessary right to work documents.

Our client's vision is to create products that put customers at the heart of everything they do. This role is crucial in fulfilling that vision and ensuring that the products they provide are of a high quality. You will report to the Head of Software Engineering and work alongside a small, core team and their digital partners.

This opportunity should allow the successful candidate to expand their technical knowledge and expose them to various parts of this exciting Industry.

What will you be doing?

· Designing data models and metadata systems to support the organization's data architecture.

· Collaborating with technical architects to ensure systems are designed in accordance with data architecture standards.

· Providing oversight and advice to other data architects on designing and producing data artifacts.

· Managing data dictionaries and ensuring compliance with data standards.

· Interpreting organizational needs and translating them into data architecture solutions.

· Ensuring data governance by evolving and defining data governance practices.

· Staying updated on emerging trends in data tools, analysis techniques, and data usage.

We'd be looking for someone who has…

· Knowledge of data modelling to produce relevant data models and understand industry standards.

· Ability to create and monitor data standards and ensure compliance within the organization.

· Problem-solving skills to investigate, resolve, and anticipate data-related issues.

· Strong communication skills to effectively manage stakeholder expectations and facilitate discussions between technical and non-technical stakeholders.

· Experience in data analysis and synthesis to undertake data profiling and present insights.

· Proficiency in data governance to support and collaborate on wider governance initiatives.

· Strategic thinking to work within a strategic context and contribute to the development of strategy and policies.

· Capability to turn business problems into data design by identifying links between problems and devising common solutions.

Desirable Skills:

· Knowledge/Experience in Azure Cloud technologies including Power Platform/Microsoft Dynamics 365

INDIT

Planet Recruitment acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Planet Recruitment is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Planet Recruitment. Our Candidate Privacy Information Statement explains how we will use your information.

Only candidates with the relevant skills and experience will be contacted after application, if you do not hear back from us within 7 days you have unfortunately been unsuccessful in your application.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the position

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.