At a Glance
- Tasks: Design and develop scalable data architectures while collaborating with cross-functional teams.
- Company: Join a forward-thinking tech company that values collaboration and innovation.
- Benefits: Enjoy competitive salary, ongoing mentoring, and upskilling opportunities.
- Other info: Dynamic team culture with excellent career growth potential.
- Why this job: Make a real impact by building robust data systems in a supportive environment.
- Qualifications: 2-3 years in data architecture, strong Python and SQL skills required.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for a motivated and detail-oriented Data Architect with 2–3 years of experience to design, develop, and maintain scalable data architectures. This role involves defining data structures, ensuring data integrity, and enabling efficient data access across systems. You will collaborate with cross-functional teams and contribute to key technical decisions while supporting high-quality data solutions.
Key Responsibilities
- Design and implement scalable, efficient data architectures aligned with business and application requirements
- Define data models, schemas, storage solutions, and integration frameworks
- Collaborate with engineering, product, and analytics teams to ensure data integrity, availability, and accessibility
- Translate business requirements into logical and physical data models
- Develop and maintain comprehensive documentation for data structures, pipelines, and processes
- Identify, troubleshoot, and resolve data-related performance and quality issues
- Support and guide team members on best practices in data architecture and engineering
- Participate in architectural discussions and contribute to strategic decision-making
Requirements
Required Skills & Experience
- 2–3 years of experience in data architecture, data engineering, or a related field
- Strong proficiency in Python for data processing and automation
- Advanced knowledge of SQL for data querying and transformation
- Solid understanding of data modeling concepts (e.g., relational, dimensional models)
- Experience with data storage technologies (e.g., data warehouses, lakes, cloud platforms)
- Familiarity with data integration tools and ETL/ELT processes
- Understanding of AI & Data Processes and data-driven system design
Preferred Skills
- Exposure to AI & Data Strategy and modern data platforms
- Knowledge of data governance, security, and access frameworks
- Experience working in cloud environments (e.g., Azure, AWS, or GCP)
- Familiarity with big data tools (e.g., Spark, Databricks)
Key Competencies
- Problem-solving mindset with strong analytical skills
- Ability to work collaboratively across multiple teams
- Strong communication and stakeholder management skills
- Proactive approach to identifying and improving data processes
What You’ll Bring
- A passion for building robust and scalable data systems
- Ability to balance technical depth with business needs
- A collaborative attitude and willingness to contribute to team success
Benefits
Why Join Us?
- Dedicated support: Ongoing mentoring and guidance from experienced professionals
- Upskilling opportunities: Training and development to further strengthen your skillset
- Career growth: Work on impactful projects and progress into more senior roles
- Collaborative culture: A team environment that values knowledge sharing and continuous improvement
- Competitive salary and benefits package
If you’re ready to take the next step in your career and grow with the support of nology and a dedicated team, submit your application now. We look forward to hearing from you!
Data Architect in Newcastle upon Tyne employer: _nology
At nology, we pride ourselves on being an excellent employer, offering a collaborative culture that fosters knowledge sharing and continuous improvement. As a Data Architect, you will benefit from dedicated support and ongoing mentoring from experienced professionals, alongside ample opportunities for upskilling and career growth within a dynamic team environment. Join us to work on impactful projects while enjoying a competitive salary and benefits package in a location that champions innovation and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Architect in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architectures, Python, and SQL. 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. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, don’t forget to mention them! Whether it's a data model you designed or a problem you solved, we want to know how you've applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at _nology
✨Know Your Data Models
Make sure you brush up on your data modelling concepts before the interview. Be ready to discuss relational and dimensional models, as well as how you've applied them in past projects. This will show that you understand the core of what a Data Architect does.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or explain how you've used these languages in your previous roles. Having specific examples ready will help you stand out.
✨Collaborate and Communicate
Since this role involves working with cross-functional teams, be prepared to discuss how you've collaborated with engineering, product, and analytics teams in the past. Highlight your communication skills and how you ensure data integrity and accessibility.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your problem-solving mindset. Think of scenarios where you've identified and resolved data-related performance issues. Sharing your thought process will demonstrate your analytical skills and proactive approach.
