At a Glance
- Tasks: Design and evolve enterprise data architecture for better decision-making and innovation.
- Company: Join Peabody, a values-driven team focused on ethical data use.
- Benefits: 30 days annual leave, flexible benefits, life assurance, and generous pension contributions.
- Other info: Collaborative environment with a focus on quality, sustainability, and career growth.
- Why this job: Shape the future of data architecture and drive impactful projects.
- Qualifications: Experience in data architecture and cloud platforms, especially Microsoft Azure.
The predicted salary is between 60000 - 80000 € per year.
Are you passionate about designing robust, trusted data foundations that enable better decision‑making and innovation? As a Data Architect at Peabody, you’ll lead the definition and evolution of our enterprise data architecture, ensuring it supports high‑quality data products, integration and ethical data use across the organisation. This is a strategic, hands‑on role where your architectural expertise will influence how data is structured, governed and reused across platforms. You’ll work closely with Data Engineers, Product Teams, Data Governance and Solutions Architects to ensure consistency across application, integration and data layers, while enabling scalable analytics and advanced use cases.
What You’ll Do
- Define and maintain enterprise data architecture across analytical and operational use cases
- Design and govern conceptual, logical and physical data models aligned to business needs
- Set and promote data modelling standards (e.g. Dimensional, 3NF, Data Vault) across domains
- Guide integration of internal and third‑party data into the Azure data platform using the Medallion architecture
- Provide architectural assurance for data products, analytics and AI/ML initiatives
- Co‑own metadata strategy, including lineage, cataloguing and business glossary alignment
- Support data ownership and governance models to improve quality, compliance and trust
- Collaborate with Solutions Architecture and Platform Engineering on roadmap and reuse decisions
- Evaluate emerging tools and architectural patterns to keep the platform modern and cost‑effective
- Ensure architecture enables ethical, secure and high‑quality use of data
What You’ll Need
- Strong experience as a Data Architect or Senior Data Engineer with architectural responsibility
- Deep expertise in enterprise data architecture, modelling and metadata strategies
- Experience with modern cloud data platforms, ideally Microsoft Azure
- Hands‑on knowledge of Databricks, Synapse, Data Factory, Azure SQL and Purview
- Strong understanding of data governance, quality, privacy and security principles
- Experience across both analytical and operational data use cases
- Excellent communication skills, able to explain complex data concepts clearly
- Good understanding of DevOps, CI/CD and engineering quality practices
- Knowledge of data mesh and domain‑based architecture approaches
- Familiarity with TOGAF or similar architectural frameworks
Preferred (but Not Essential)
- Experience supporting AI/ML pipelines or ethical data innovation
- Knowledge of geospatial data and geospatially enabled solutions
- Experience working in federated or hub‑and‑spoke data platform models
- Relevant certifications such as Azure Data Engineer Associate or Azure Solutions Architect
Who You Are
- You will be strategic yet pragmatic in how you design and influence architecture
- Collaborative and comfortable working across technical and non‑technical teams
- Detail‑oriented with a strong focus on quality, reuse and sustainability
- Curious about emerging patterns, tools and best practice
- Passionate about trusted, ethical and well‑governed data
Why Join Us?
When you join Peabody, you’re joining a team guided by our values: Be Kind, Do the Right Thing, Love New Ideas, Celebrate Diversity, Keep Our Promises, and Pull Together. We’re building data as a strategic capability and investing in strong foundations that enable innovation and insight.
What We Offer
- 30 days annual leave, plus bank holidays
- Two paid volunteering days each year
- Flexible benefits scheme and employee discount portal
- Life assurance at 4x your salary
- Up to 10% pension contribution
Contact: George Murphy, Talent Specialist, george.murphy@peabody.org.uk
Data Architect employer: Peabody
Peabody is an exceptional employer that prioritises innovation and ethical data use, making it an ideal workplace for a Data Architect. With a strong commitment to employee growth, we offer 30 days of annual leave, flexible benefits, and a collaborative culture that celebrates diversity and encourages new ideas. Join us in shaping the future of data while enjoying a supportive environment that values your contributions and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to current or former Peabody employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data architecture knowledge. Be ready to discuss how you've tackled real-world problems in previous roles. We want to see your hands-on experience shine!
✨Tip Number 3
Show off your passion for ethical data use! Peabody values this highly, so share examples of how you've ensured data quality and compliance in your past projects. It’ll set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Peabody.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with enterprise data architecture and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 our team at Peabody. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with tools like Azure, Databricks, and data governance principles. We’re keen to know how you’ve applied these in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Peabody
✨Know Your Data Architecture
Make sure you brush up on your knowledge of enterprise data architecture, especially the specific models mentioned in the job description like Dimensional and Data Vault. Be ready to discuss how you've applied these in past roles and how they can benefit Peabody.
✨Showcase Your Technical Skills
Prepare to talk about your hands-on experience with Microsoft Azure and tools like Databricks and Synapse. Have examples ready that demonstrate your ability to integrate data and ensure quality governance, as this will show you're not just theoretical but practical too.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex data concepts in simple terms. Think about how you would describe your previous projects to someone without a technical background, as this will highlight your collaborative spirit.
✨Emphasise Ethical Data Use
Peabody values ethical data practices, so be prepared to discuss how you've ensured compliance and trust in your previous roles. Share any experiences where you’ve had to navigate data privacy or security challenges, as this will resonate well with their mission.
