Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and govern enterprise data models and flows across integrated systems.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: Experience in data architecture and AWS solutions is essential.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Data Architect to define, design, and govern enterprise data models, data flows, and data life cycle processes across multiple integrated systems. The role requires strong expertise in AWS-based solutions, NoSQL data modelling, data governance, and integration across heterogeneous systems. Working closely with engineering teams, data governance functions, and senior stakeholders, the Data Architect will ensure data structures, documentation, and processes align with business objectives and comply with organisational and regulatory governance standards. Candidate must be SC eligible or cleared.
Key Responsibilities
- Data Architecture & Modelling: Define and maintain logical and physical data models, including NoSQL data structures, to meet business and technical requirements. Establish and document end-to-end data structures, data flows, and life cycle processes across integrated systems. Define and document data requirements, inputs, outputs, and lineage using approved data lineage and traceability tools.
- Integration & Documentation: Lead the creation and maintenance of API documentation and data integration specifications. Design and oversee data integration workflows across diverse platforms and systems. Ensure consistency, integrity, and quality of data across integrated environments.
- Governance, Quality & Compliance: Implement and uphold data governance processes, working closely with central data architecture and governance teams to ensure enterprise alignment. Ensure compliance with data quality standards, privacy requirements, security controls, and regulatory frameworks. Conduct impact analysis and support life cycle management of data assets, identifying opportunities for reuse and optimisation.
- Architecture Collaboration & Delivery: Contribute to broader architecture decisions, ensuring designs align with organisational standards and technical strategy. Support and oversee data-related testing activities by clarifying data models, flows, and requirements for delivery and testing teams. Provide guidance and oversight to data analysts and support fellow architects as required.
- Stakeholder Engagement: Engage with cross-functional stakeholders including developers, testers, product owners, technical architects, senior leadership, and governance forums. Clearly communicate data architecture designs, decisions, and impacts to secure approvals and alignment.
Skills & Experience Required
Essential:
- Strong experience in data architecture, including data modelling for relational and NoSQL databases across structured and unstructured data environments.
- Hands-on experience with AWS cloud services and NoSQL technologies such as DynamoDB.
- Strong understanding of system integration patterns, including API-based workflows and data exchange models.
- Proven experience designing and managing data integration workflows across heterogeneous platforms.
- Experience with data lineage, metadata, and traceability tools (eg, Solidatus) or the ability to rapidly adopt such tools.
- Solid understanding of data governance principles, data quality management, life cycle management, and regulatory compliance.
- Strong analytical and problem-solving skills with the ability to translate business requirements into effective data designs.
- Excellent communication and stakeholder management skills.
Desirable:
- Experience supporting data-focused testing activities within Agile delivery environments.
- Ability to work across multiple delivery teams and adapt to evolving project requirements.
- Exposure to secure or regulated environments.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related discipline.
- Relevant certifications in Data Architecture, AWS, Cloud Platforms, or Data Governance are advantageous.
- Proven experience in a Data Architect or equivalent role, preferably within complex, multi-team or enterprise environments.
Data Architect employer: Falcon Chase International
Contact Detail:
Falcon Chase International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a Data Architect role. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your expertise. Talk about your experience with AWS, NoSQL, and data governance. Make sure they know you’re the right fit for their needs!
✨Tailor Your Approach
Every company is different, so tailor your conversations to align with their specific goals and challenges. Research their projects and mention how your skills can help them achieve their objectives. It shows you’re genuinely interested!
✨Apply Through Our Website
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
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 our needs!
Showcase Your Projects: Include specific projects where you've defined data models or integrated systems. 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 straightforward language to explain your experience and how it relates to the job. We appreciate clarity!
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 Falcon Chase International
✨Know Your Data Models
Make sure you’re well-versed in both relational and NoSQL data models. Be prepared to discuss how you’ve designed and maintained these models in past roles, especially in AWS environments. This will show your expertise and readiness for the challenges of the Data Architect position.
✨Master the Art of Communication
Since you'll be engaging with various stakeholders, practice explaining complex data architecture concepts in simple terms. Use examples from your experience to illustrate how you've communicated designs and decisions effectively in previous roles.
✨Showcase Your Integration Skills
Be ready to talk about your hands-on experience with API documentation and data integration workflows. Highlight specific projects where you’ve successfully integrated diverse systems, ensuring data quality and compliance throughout the process.
✨Understand Governance and Compliance
Brush up on data governance principles and regulatory compliance standards relevant to the role. Prepare to discuss how you’ve implemented governance processes in your previous positions and how you ensure data quality and security in your designs.
