At a Glance
- Tasks: Design and implement innovative data solutions for the Adobe Experience Platform.
- Company: Join a leading digital technology team at the Premier League.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with top engineers and stakeholders while shaping the future of digital experiences.
- Why this job: Make a real impact on data architecture in a dynamic environment.
- Qualifications: Experience as a Data Architect with strong knowledge of Adobe Experience Platform.
The predicted salary is between 72000 - 88000 £ per year.
The Digital Technology team is looking for an experienced Data Architect to design robust data solutions across the Adobe Experience Platform (AEP) ecosystem. Working closely with engineering teams and senior stakeholders, you will:
- Translate business requirements into practical, scalable technical solutions.
- Analyse and resolve complex technical issues.
- Help maintain data and platform stability across our digital estate.
Reporting to the Digital Engineering Manager, you will own the design of data architecture and integration solutions across the Adobe Experience Platform ecosystem. You will turn business and technical requirements into secure, scalable and adaptable solutions, while providing technical leadership across internal teams, Adobe specialists, delivery partners and other platform owners.
The role involves:
- Designing data architecture and integration solutions for Adobe Experience Platform and its connected services, aligned with the current architecture and the wider Premier League technology roadmap.
- Translating business needs and high-level technical requirements into clear solution designs, architecture diagrams, data flows, implementation roadmaps and engineering priorities.
- Designing extensible integration frameworks, selecting appropriate patterns such as HTTP APIs, SDK-based ingestion, publish-subscribe messaging, event-driven services, and streaming or batch processing.
- Defining how customer data is ingested, transformed, stored, governed, activated and consumed to support marketing journeys, digital experiences and analytics reporting.
- Owning the technical design of third-party integrations, ensuring data flows are secure, resilient, supportable and capable of evolving as future requirements change.
- Leading technical discussions with platform owners, Adobe teams, vendors and delivery partners, establishing clear outcomes, responsibilities, dependencies and implementation decisions.
- Providing technical direction to software, data and platform engineers, reviewing designs and supporting implementation, testing and resolution of complex technical issues.
- Maintaining oversight of platform health, governance and monitoring, including data quality, identity, reconciliation, validation, error handling, recovery and operational stability.
- Assessing architecture decisions and trade-offs relating to security, privacy, performance, scalability, maintainability, platform constraints and cost optimisation.
- Contributing to business-as-usual delivery, platform stabilisation and capability development, balancing immediate operational priorities with longer-term architectural goals.
- Representing the Premier League in technical conversations and taking accountability for ensuring agreed architecture and integration decisions are progressed through delivery.
- Working flexibly across the broader digital engineering and enterprise architecture agenda, building knowledge beyond the immediate Adobe assignment as organisational needs develop.
Requirements for the role include:
- Significant experience as a Data Architect, Solution Architect or Enterprise Architect, with strong exposure to customer-data platforms, data architecture or comparable data-platform environments.
- Proven experience designing and implementing enterprise integration solutions using a range of industry-standard patterns, rather than relying on a single integration method.
- Strong working knowledge of Adobe Experience Platform and its integration landscape.
- Experience with Real-Time CDP, Adobe Journey Optimizer and Customer Journey Analytics is highly relevant.
- Ability to define architecture frameworks, dependencies and design approaches that deliver practical solutions now while remaining extensible for future requirements.
- Strong understanding of end-to-end data flows, including ingestion, transformation, storage, identity, governance, activation and consumption.
- Experience translating functional and non-functional requirements into clear technical designs, roadmaps, interface specifications and implementation plans.
- Practical understanding of secure data movement, access controls, consent, privacy, retention and governance requirements.
- Ability to assess and resolve complex data, integration and platform issues, identify root causes and recommend proportionate solutions.
- Confidence leading technical discussions with internal stakeholders, vendors, partners and specialist engineering teams, including constructively challenging proposals where necessary.
- Ability to provide solution-level technical judgement while remaining willing to work at implementation level when the situation requires it.
- Clear written and verbal communication skills, with the ability to explain complex technical concepts and decisions to both technical and non-technical stakeholders.
- A proactive learning mindset, with the flexibility to explore new technologies, broaden into enterprise architecture responsibilities and adapt as the role develops.
Data Architect employer: Premier League
The Premier League is an exceptional employer, offering a dynamic work environment where creativity and data-driven decision-making thrive. With a strong focus on employee growth, you will have access to professional development opportunities and the chance to collaborate with passionate colleagues in a vibrant location. Join us to be part of a prestigious organisation that values innovation and teamwork, making a meaningful impact in the world of sports.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Premier League!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Premier League.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Premier League.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Premier League, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Premier League, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Premier League. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Premier League
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Premier League!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
