At a Glance
- Tasks: Design and govern data models and flows across integrated systems.
- Company: Leading tech firm in Leeds with a collaborative atmosphere.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: 15+ years in data architecture with expertise in AWS and NoSQL.
- Other info: Join a dynamic team and thrive in an Agile environment.
The predicted salary is between 54000 - 84000 ÂŁ per year.
Location: Leeds, UK (3 days in office)
MANDATORY! SC Requirement: SC Cleared / SC Eligible
Job Type: Full-Time
Relevant Experience: >15 Years
Job Summary
The Data Architect will be responsible for defining, designing, and governing data models, data flows, and data lifecycle processes across multiple integrated systems. The role requires strong expertise in AWS-based solutions, NoSQL data modeling, data governance, and integration between heterogeneous systems. The architect will work collaboratively with technical teams, data governance groups, and senior stakeholders to ensure that data structures, documentation, and processes support business objectives and comply with established governance standards.
Key Responsibilities
- Define logical and physical data models, including NoSQL data structures, to support business and technical requirements.
- Establish and maintain data structures, data flows, and end-to-end documentation across systems.
- Define and document data requirements, inputs, outputs, and lineage using approved data lineage and traceability tools.
- Lead the creation and maintenance of API documentation and data integration specifications.
- Ensure data consistency, integrity, and quality across systems, aligning with established governance frameworks and regulatory standards.
- Implement and uphold data governance processes, collaborating with central data architecture and governance teams to ensure enterprise alignment.
- Contribute to broader architecture decisions to ensure designs adhere to organisational standards and technical strategy.
- Support and oversee data-related testing activities by clarifying data models, flows, and requirements for testing teams.
- Conduct impact analysis and support lifecycle management of data assets, identifying opportunities for reuse and optimisation.
- Engage with cross-functional stakeholders—including developers, testers, product and technical architects, senior leadership, and governance forums—to communicate design decisions and secure required approvals.
- Provide guidance, oversight, and direction to data analysts and support other architects as needed.
- Ensure adherence to security, privacy, and compliance requirements, including meeting clearance requirements where applicable.
Skills Required
- Strong experience in data architecture with proven expertise in data modeling for both relational and NoSQL databases, including structured and unstructured data environments.
- Hands-on experience with cloud platforms—particularly AWS—and NoSQL technologies such as DynamoDB.
- Strong understanding of system integrations, including API-based workflows, data exchange patterns, and documentation of integration specifications.
- Proficiency in designing and managing data integration workflows across diverse platforms.
- Experience with data lineage, metadata, and traceability tools (e.g., Solidatus) or the ability to quickly adopt such tools.
- Solid understanding of data governance principles, data quality processes, lifecycle management, and compliance with privacy and regulatory standards.
- Strong analytical thinking and problem-solving skills, with the ability to translate business requirements into effective data designs and technical solutions.
- Excellent communication, stakeholder management, and engagement skills, with the ability to collaborate with senior leadership, technical teams, and governance bodies.
- Experience supporting data-focused testing activities and clarifying data models and flows for testing teams.
- Ability to work effectively across multiple delivery teams in Agile environments and adapt to evolving project needs.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
- Relevant certifications in data architecture, cloud platforms, or data governance are an advantage.
- Prior experience in a Data Architect or similar role, preferably in complex, multi-team environments.
Data Architect in Leeds employer: Qualient Technology Solutions UK Limited
Contact Detail:
Qualient Technology Solutions UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Leeds
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of hearing about job openings before they’re even advertised.
✨Show Off Your Skills
Don’t just tell potential employers what you can do—show them! Create a portfolio showcasing your data architecture projects, especially those involving AWS and NoSQL. This will give you an edge and demonstrate your hands-on experience.
✨Ace the Interview
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing data models or integrating systems. Remember, it’s not just about the right answers but how you communicate your ideas!
✨Apply Through Our Website
When you find a role that fits, apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with AWS, NoSQL, and data governance. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've defined data models or worked on integrations. We love seeing real examples of your work that demonstrate your expertise in data architecture.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and responsibilities. We appreciate straightforward communication that gets to the heart of your experience.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Qualient Technology Solutions UK Limited
✨Know Your Data Inside Out
As a Data Architect, you need to be well-versed in data models and structures. Brush up on your knowledge of both relational and NoSQL databases, especially AWS solutions like DynamoDB. Be ready to discuss how you've designed data flows and maintained data integrity in past projects.
✨Showcase Your Collaboration Skills
This role involves working with various stakeholders, so highlight your experience in cross-functional collaboration. Prepare examples of how you've engaged with technical teams, governance groups, and senior leadership to achieve project goals. Communication is key!
✨Demonstrate Your Governance Knowledge
Data governance is crucial for this position. Familiarise yourself with governance frameworks and compliance standards relevant to the role. Be prepared to discuss how you've implemented data governance processes in previous roles and the impact it had on data quality.
✨Prepare for Technical Questions
Expect technical questions related to data architecture, integration workflows, and API documentation. Review common data lineage and traceability tools, and be ready to explain how you've used them. Practising these concepts will help you feel more confident during the interview.