Data Enterprise Architect in Manchester

Data Enterprise Architect in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Lead the design of MAG's data architecture and drive data-driven decision-making.
  • Company: Join MAG, the largest UK-owned airport operator, serving over 60 million passengers annually.
  • Benefits: Enjoy a bonus scheme, private medical, 25 days holiday, and flexible working options.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.
  • Why this job: Shape the future of data in aviation and make a real impact on customer experiences.
  • Qualifications: Experience in data architecture and strong problem-solving skills required.

The predicted salary is between 60000 - 80000 £ per year.

Based at Manchester or Stansted Airport. Permanent Role. Office or Flexible/Hybrid working for a better work/life balance. We are proud to be a diverse employer, and we welcome candidates from all backgrounds.

At MAG we provide the airport facilities and travel services that people need to connect with the world. As the largest UK‑owned airport operator, we serve over 60 million passengers a year from Manchester, London Stansted, and East Midlands Airports. With over 270 destinations across the globe, our businesses not only bring people together but also support the prosperity of the regions in which we operate. At MAG, we recognise that creating a first‑class journey for our customers starts by creating a first‑class career journey for our colleagues and we are committed to building inclusive environments in which our people can thrive.

You’ll also have access to some great benefits, including:

  • Bonus scheme
  • 10% company contribution pension
  • Car allowance
  • Private medical scheme
  • 25 days holiday plus bank holidays
  • Free parking
  • Subsidised public transport
  • Huge range of company discounts
  • 2 volunteering days per year
  • Free Virtual GP service, available 24 hours a day, 7 days a week
  • Care Concierge service

The Role

As Enterprise Data Architect, you will play a pivotal role in defining and implementing MAG’s technology strategy from a data perspective, aligning it with our ambition to deliver safe, efficient, and customer‑focused services. You’ll lead the design and governance of MAG’s enterprise‑wide data architecture, enabling data‑driven decision‑making across airport operations, enterprise systems, and customer engagement. This includes developing the MAG data model, integrating disparate systems, and ensuring data quality, security, and accessibility across the organisation. Working closely with stakeholders across MAG Technology and the wider business, you’ll shape and maintain our data ecosystem, provide oversight of major transformation activities, and ensure alignment with our strategic goals.

What will make you successful?

You’ll be a Data Enterprise Architect with experience operating within highly complex and ideally regulated environments, who has been responsible for shaping and implementing an organisation’s data strategy and ensuring its alignment with business objectives. You’ll have translated intricate business requirements into robust, scalable, and secure data solutions, leveraging deep expertise in data modelling, ETL processes, data warehousing, and modern cloud platforms. A key part of your role will be to develop our Enterprise Data Model, dive into the critical data domains and ensure they’re fit to deliver on our tech and AI strategies – defining remediation and improvement where necessary; then establish, lead and maintain strong data governance frameworks to ensure robust practices across all data domains, and demonstrate this to be successful in this role.

You’ll also need to have experience with the adoption and implementation of enterprise data catalogues to improve data discoverability, lineage visibility, and metadata management, supporting a culture of data‑driven decision‑making. In addition, you’ll need to demonstrate expertise in designing and overseeing complex architectural patterns using industry‑standard frameworks such as Lambda, Medallion, and Data Mesh, enabling both batch and real‑time data processing capabilities. You’ll collaborate closely with stakeholders across all levels of the organisation, using excellent communication and influencing skills to guide decision‑making, land data models that will set MAG up for success in the future, and drive consensus on key data initiatives.

Your responsibilities will also include architecting real‑time data processing pipelines and supporting advanced analytics and BI solutions that enhance operational efficiency and strategic insight. You’ll be able to highlight through analytical thinking and strong problem‑solving abilities from your career, where you have played a critical role in shaping a cohesive, future‑ready enterprise data landscape. Your role will involve owning and developing the organisation’s data models, getting hands‑on with modelling to understand what data truly matters, and leading the data workstream across key projects by defining requirements early and ensuring high‑quality delivery.

You’ll be required to identify and prioritise the critical data points and domains needed to support strategic objectives, proactively shaping them before they’re required. Your position will also see you establish strong data governance and stewardship practices to maintain accuracy, integrity, and long‑term usability of data, ensuring that once data is fixed and structured for a project, it stays in a healthy, well‑managed state across the business.

Equal Opportunities & Reasonable Adjustments

At MAG we believe in the importance of diversity & inclusion for all. We are committed to creating a workforce that is reflective of our society. As such we welcome applications from candidates from all backgrounds. We’re also committed to well‑being with a focus on mental health and supporting colleagues from underrepresented groups through our Colleague Resource Groups. As a Disability Confident employer, we are committed to creating an environment where candidates and employees can perform at their optimum. Please let us know if we can provide you with any reasonable adjustments to aid your application or interview process.

Our Colleague Resource Groups include: Women’s Network, Embrace – Race & Ethnicity Group, Fly With Pride (LGBTQIA+), Mental Health, Parent & Carers, Disabilities including neurodiversity.

Data Enterprise Architect in Manchester employer: 慨正橡扯

MAG is an exceptional employer that prioritises the well-being and growth of its employees, offering a flexible working environment to enhance work/life balance. With a commitment to diversity and inclusion, MAG provides numerous benefits such as a generous pension scheme, private medical coverage, and opportunities for professional development, all while fostering a collaborative culture that empowers staff to thrive in their careers. Located at Manchester or Stansted Airport, employees enjoy unique advantages including free parking, subsidised public transport, and access to a wide range of company discounts, making it a rewarding place to work.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Enterprise Architect in Manchester

Tip Number 1

Network like a pro! Reach out to current employees at MAG on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Enterprise Architect role.

Tip Number 2

Prepare for the interview by brushing up on your data architecture knowledge. Be ready to discuss how you've tackled complex data challenges in the past and how you can contribute to MAG's tech and AI strategies.

Tip Number 3

Showcase your problem-solving skills during the interview. Use real-life examples to demonstrate how you've shaped data landscapes and improved data governance in previous roles. This will help us see your potential impact at MAG.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the MAG team and contributing to our mission.

We think you need these skills to ace Data Enterprise Architect in Manchester

Data Architecture
Data Modelling
ETL Processes
Data Warehousing
Cloud Platforms
Data Governance
Data Catalogues

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Enterprise Architect role. Highlight your experience with data modelling, ETL processes, and cloud platforms. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to MAG's mission. Keep it engaging and relevant to the job description.

Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've shaped data strategies or improved data governance in previous roles. We love seeing results!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at 慨正橡扯

Know Your Data Inside Out

As a Data Enterprise Architect, you need to be well-versed in data modelling, ETL processes, and cloud platforms. Brush up on your knowledge of the specific data architecture frameworks mentioned in the job description, like Lambda and Data Mesh, so you can confidently discuss how you've applied these in past roles.

Showcase Your Stakeholder Skills

Collaboration is key in this role. Prepare examples of how you've worked with various stakeholders to shape data strategies. Be ready to demonstrate your communication and influencing skills, as these will be crucial in guiding decision-making at MAG.

Prepare for Technical Questions

Expect to dive deep into technical discussions during your interview. Review your experience with data governance frameworks and real-time data processing pipelines. Be prepared to explain complex concepts in a way that shows your understanding and ability to simplify for others.

Align with MAG's Values

MAG prides itself on diversity and inclusion. Familiarise yourself with their commitment to creating a supportive work environment. During the interview, express how your values align with theirs and how you can contribute to fostering an inclusive culture within the data team.