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For Companies At a Glance
- Tasks: Lead the design and governance of enterprise-wide data architecture for impactful decision-making.
- Company: MAG, a leader in delivering safe and efficient airport services.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data strategy in a dynamic aviation environment.
- Qualifications: Extensive experience in data architecture and strong analytical skills required.
- Other info: Collaborative culture with a focus on innovation and strategic alignment.
The predicted salary is between 36000 - 60000 £ per year.
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?
- Extensive experience as an Enterprise Data Architect in a complex, regulated environment.
- Deep knowledge of data modelling, ETL, data warehousing, and cloud platforms (Azure, AWS, or GCP).
- Strong understanding of data governance, MDM, and regulatory compliance.
- Experience implementing enterprise data catalogues (e.g., Atlan, Informatica, Collibra).
- Familiarity with aviation systems (e.g., AODB, FIDS, CRM, ERP) is desirable.
- Excellent communication and stakeholder management skills, with the ability to influence at all levels.
- Knowledge of industry-standard data models and frameworks such as Lambda, Medallion, and Data Mesh.
- Experience with real-time data processing (Kafka, Spark) and BI tools (Power BI, Tableau).
- Strong analytical and problem-solving skills, translating business requirements into effective data solutions.
Enterprise Data Architect in Manchester employer: Mag
Contact Detail:
Mag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect in Manchester
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. We recommend including case studies that highlight your problem-solving abilities and the impact of your work.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. We suggest practising your responses to questions about data governance and integration challenges, as these are hot topics in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who can help us shape our data ecosystem.
We think you need these skills to ace Enterprise Data Architect in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Enterprise Data Architect role. Highlight your experience with data modelling, ETL, and cloud platforms like Azure or AWS. 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 technology strategy. Keep it engaging and relevant to the role.
Showcase Your Stakeholder Skills: Since communication is key in this role, make sure to highlight your stakeholder management skills. Share examples of how you've influenced decisions and collaborated with teams in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Mag
✨Know Your Data Models
Make sure you brush up on industry-standard data models like Lambda, Medallion, and Data Mesh. Be ready to discuss how you've applied these in your previous roles, as this will show your depth of knowledge and practical experience.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your communication and stakeholder management skills. Think about times when you influenced decisions at various levels within an organisation, as this is crucial for the role.
✨Familiarise with Aviation Systems
If you have experience with aviation systems like AODB, FIDS, or CRM, be sure to mention it. If not, do a bit of research to understand how these systems work and their importance in the data architecture landscape.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. Practice translating business requirements into effective data solutions, showcasing your analytical skills and ability to think on your feet.
