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- Tasks: Shape data architecture for a large organisation and work with modern cloud technologies.
- Company: Well-established company undergoing an exciting enterprise-wide modernisation programme.
- Benefits: Flexible working hours, competitive salary, and the chance to influence data strategy.
- Why this job: Make a real impact on how data drives business decisions across the UK and Europe.
- Qualifications: Extensive experience in data architecture and strong SQL skills required.
- Other info: Collaborate with experienced professionals in a dynamic and evolving environment.
The predicted salary is between 36000 - 60000 £ per year.
3 days a week onsite in Sunderland, 35hr working week with flexible working hours.
We are looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you will be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future.
What you will be doing:
- Architecture & Strategy
- Assess existing data architectures, documenting current-state models, pipelines, tools, and standards.
- Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals.
- Design logical and physical data models optimised for reporting, analytics, and self-service BI.
- Establish and govern architectural patterns (e.g., medallion architecture, dimensional modelling, data vault).
- Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers.
- Technology Leadership
- Evaluate and recommend modern data technologies and tooling.
- Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services.
- Lead proofs-of-concept and technical assessments for new technologies.
- Ensure the data architecture remains modern, performant, and future-proof.
- Data Modelling & Governance
- Define standard business entities, metrics, and KPIs for consistent reporting.
- Review and approve complex data models created by BI Engineers.
- Design and embed data governance frameworks covering ownership, quality, security, and compliance.
- Collaboration & Influence
- Partner with BI leadership to shape data and analytics strategy.
- Provide architectural guidance and mentorship to BI Engineers and Developers.
- Work closely with Front End BI Developers to ensure data structures support performant dashboards.
- Translate business requirements into clear, practical architectural solutions.
- Facilitate architecture workshops and discussions with technical and non-technical stakeholders.
What we are looking for:
Essential experience:
- Extensive experience in data architecture, designing and delivering enterprise-scale data solutions.
- Strong expertise in data modelling with excellent SQL skills.
- Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing).
- Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial).
- Experience with data governance, data quality, metadata management, and regulatory considerations.
Personal attributes:
- Strong business acumen and ability to link data architecture to real business outcomes.
- Pragmatic mindset: balancing architectural best practice with delivery and cost constraints.
- Curious, continuous learner with an interest in emerging technologies.
- Confident communicator who can influence and build trust across technical and business teams.
This is a great opportunity where you will get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You will play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you are passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Data Architect in Houghton-Le-Spring employer: Tria Recruitment
Contact Detail:
Tria Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Houghton-Le-Spring
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. 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, models, and any cool tech you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms and data governance, and think about how you can link your work to real business outcomes.
✨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 proactive about their job search!
We think you need these skills to ace Data Architect in Houghton-Le-Spring
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Architect role. Highlight your expertise in data architecture, cloud platforms, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 your background aligns with our goals. Be sure to mention any specific technologies or methodologies you’re familiar with that are relevant to the role.
Showcase Your Technical Skills: Since this role is all about technical leadership, don’t shy away from showcasing your SQL skills, experience with cloud data platforms, and knowledge of modern data engineering patterns. We love seeing concrete examples of how you've applied these skills in past roles!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your CV and cover letter in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Tria Recruitment
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest data architecture trends and technologies, especially those mentioned in the job description like AWS, ETL/ELT patterns, and data governance. Prepare to discuss how you've applied these in your previous roles and be ready to share specific examples.
✨Showcase Your Collaboration Skills
This role involves working closely with BI Engineers, Developers, and senior stakeholders. Think of examples where you’ve successfully collaborated on projects, and be prepared to explain how you can bridge the gap between technical and non-technical teams.
✨Prepare for Technical Questions
Expect to face technical questions that assess your knowledge of data modelling and cloud-based architectures. Brush up on your SQL skills and be ready to discuss complex data models you’ve worked on, including any challenges you faced and how you overcame them.
✨Align Your Vision with Business Goals
The company is looking for someone who can link data architecture to real business outcomes. Be prepared to discuss how you’ve aligned data strategies with business objectives in the past, and think about how you would approach this in their context.
