At a Glance
- Tasks: Design robust data models and bridge technical gaps for real-world impact.
- Company: Join Naimuri, a forward-thinking tech company with a strong culture.
- Benefits: Competitive salary, hybrid working, health cover, and performance bonuses.
- Why this job: Make a difference in data architecture while supporting UK security.
- Qualifications: Experience in data modelling, governance, and communication skills.
- Other info: Embrace a collaborative environment with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: Salford Quays, London, Bristol or Portsmouth
The Role: As a Data Architect at Naimuri, you won’t just be drawing diagrams; you will be an "arrowhead" for our data capability. You will work directly with customers to untangle complex data landscapes, designing robust models that enable real-world operational impact. You will bridge the gap between technical complexity and business reality. You will design data models and metadata systems that are secure, scalable, and capable of supporting advanced analytics and AI.
What you'll do:
- Design & Strategy: You will define and govern data models (conceptual, logical, and physical) that fulfil strategic needs, ensuring data is accessible, accurate, and secure.
- Bridge the Gap: You will communicate effectively with both technical engineers, data scientists and non-technical stakeholders, translating complex data concepts into clear, actionable insights.
- Governance & Standards: You will set the standards for data quality, consistency, governance and compliance (including GDPR and security classifications), ensuring our solutions are "Secure by Design."
- Technology Leadership: You will champion the use of modern data technologies and approaches, sharing knowledge across your discipline to ensure we maintain our Perpetual Edge, including but not limited to: Vector Databases like Pinecone, Redis, Milvus. Data Warehousing, Lakes and Lakehouses. Data Fabrics and Meshes.
- Collaboration: You will work within agile, cross-functional teams alongside Software Engineers, Data Scientists, Data Engineers, and Delivery Leads to bake data architecture into the heart of our solutions.
About you: At Naimuri, we value Character over Competence. We want people who are passionate, curious, and ready to make a difference.
- Data Modelling: You can explain concepts and principles of data modelling and produce relevant models across multiple subject areas.
- Data Governance: You understand how to evolve and define data governance, ensuring data services meet business needs.
- Data Standards: You can develop and monitor compliance with data standards to protect and organise data effectively.
- Central Government and Defence: You will need to understand the complexities of delivering into government and defence including the data security constraints.
- Communication: You manage differing stakeholder perspectives and can advocate for data best practices within a multidisciplinary team and sometimes complex stakeholders.
- AI: You will be passionate about unlocking AI capability through better data quality, governance, accessibility, and integration.
Desirable Tech Stack:
- Experience with AWS, Azure or GCP cloud data services.
- Knowledge of Graph Data Science (e.g., Neo4j) or Ontologies.
- Familiarity with Python and SQL for data manipulation.
- Experience of designing and managing robust data pipelines.
- Experience in the Defence or National Security sectors.
Our Values: Our culture is our superpower. We look for people who live our seven core values:
- Integrity: We do what is right, not what is easiest. We build trust.
- Accountability: We take ownership of our work and its quality.
- Pride and Passion: We love what we do and celebrate our successes.
- Courage: We challenge ourselves to innovate, fail fast, and speak up.
- Ambition and Initiative: We strive to take our projects and teams to the next level.
- Collaboration: We build relationships and value input from everyone.
- Caring: We look after each other and value wellbeing above all else.
Location & Flexibility:
- Base (one of): Our Head Office is in Salford Quays, Manchester. London (Vauxhall). Portsmouth. Bristol.
- Hybrid Working: We offer hybrid working. This would normally be a maximum of one or two days per week in the office, but you are welcome to spend more time on-site if preferred.
- Travel: Visits to customer sites will be required.
Naimuri pays competitively within the industry based on your role's base location rates.
Pension: Matched 1.5x up to 10.5%. Bonus: Company performance-related bonus. Health: AXA group 1 medical cover. Lifestyle: Flexible/Hybrid working options and a holiday buy-back scheme.
Ready to make a difference? If you want to use your skills to protect the UK and work in an environment where your voice matters, we want to hear from you.
Data Architect in Manchester employer: Naimuri
Contact Detail:
Naimuri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Manchester
✨Tip Number 1
Network like a pro! Reach out to people 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate how you bridge the gap between technical complexity and business reality. Make it easy for employers to see what you can do!
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture. Be ready to discuss your experience with data governance and how you've tackled challenges in past roles. Confidence is key, so rehearse until you feel comfortable!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate – take that step and show us what you’ve got!
We think you need these skills to ace Data Architect in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with data modelling, governance, and any relevant technologies like AWS or Azure. We want to see how your skills align with what we’re looking for!
Showcase Your Communication Skills: Since you'll be bridging the gap between technical and non-technical stakeholders, it’s crucial to demonstrate your ability to communicate complex ideas clearly. Use examples from your past experiences where you’ve successfully done this.
Emphasise Your Passion for Data: We love candidates who are genuinely passionate about data and its potential. Share your enthusiasm for data architecture and any projects you've worked on that showcase your commitment to improving data quality and governance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Naimuri
✨Know Your Data Models
Make sure you can explain the different types of data models—conceptual, logical, and physical. Be ready to discuss how you've designed these in the past and how they can fulfil strategic needs for a business.
✨Bridge the Communication Gap
Prepare to demonstrate your ability to communicate complex data concepts to both technical and non-technical stakeholders. Think of examples where you've successfully translated technical jargon into actionable insights for a diverse audience.
✨Showcase Your Governance Knowledge
Familiarise yourself with data governance principles, especially around GDPR and security classifications. Be prepared to discuss how you would ensure data quality and compliance in your role as a Data Architect.
✨Emphasise Collaboration Skills
Highlight your experience working in agile, cross-functional teams. Share specific instances where you've collaborated with software engineers, data scientists, and other stakeholders to integrate data architecture into solutions.