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- Tasks: Shape data strategy and influence senior stakeholders with real-time insights.
- Company: Fast-growing, data-driven organisation at the forefront of events and media.
- Benefits: £90k to £100k salary, bonus, medical, pension, and life assurance.
- Why this job: Make a real impact with cutting-edge data and AI in a strategic role.
- Qualifications: Senior experience in data architecture, GCP, BigQuery, and storytelling with data.
- Other info: Fully remote role with autonomy and excellent growth opportunities.
The predicted salary is between 90000 - 100000 £ per year.
£90,000 to £100,000 + Bonus, Medical, Pension, Life Assurance
This is a rare opportunity to join a fast‑growing, data‑driven organisation operating at the intersection of events, media and real‑time digital experiences. They are investing heavily in data and AI and are looking for a senior, commercially minded Data Architect to take ownership of data strategy end‑to‑end from how data is engineered and modelled, right through to how insights are surfaced and used at board level.
Why this role is different
This isn’t a “keep the lights on” data role. You’ll be trusted to shape the data vision, influence senior stakeholders, and answer big questions such as:
- What is our data really telling us in real time?
- How do we turn live event data into meaningful commercial insight?
- Where can AI and LLMs genuinely add value rather than noise?
You’ll work closely with C‑suite leaders, translating complex data into clear, actionable narratives that influence strategy, product and growth.
What you’ll be doing
- Own and evolve the data strategy across multiple products and platforms
- Design and build scalable, modern data architectures on GCP
- Lead the data conversation with senior stakeholders, regularly presenting insights to C‑suite
- Identify trends and opportunities within real‑time and near‑real‑time data
- Enable advanced analytics, BI and self‑service insight using Looker
- Work heavily with BigQuery on large, complex datasets
- Explore and implement LLM / AI use cases, particularly around insight generation and automation
- Partner closely with engineering and product to ensure data is truly embedded into decision‑making
- Set best practice around data engineering, version control and collaboration using GitHub
- Act as a technical and strategic mentor across data and analytics
What they’re looking for
We’re open on background; the common thread is seniority, curiosity and impact. You might come from:
- A senior Analytics Engineer who’s moved into strategy
- Or a Data / AI specialist with strong engineering foundations
Key experience includes:
- Strong hands‑on experience with GCP, BigQuery and Looker
- Solid Python skills and modern data engineering practices
- Experience working with or around LLMs / AI (use‑case driven, not theoretical)
- Confidence working with real‑time or event‑driven data
- The ability to tell a story with data especially to non‑technical, senior audiences
Bonus (not essential)
- Exposure to event, media, streaming or high‑volume consumer data
- Experience in fast‑growth or product‑led environments
What’s on offer
- Fully remote (UK) with autonomy and trust
- A genuinely strategic role with visibility and influence
- Opportunity to work with cutting‑edge data and AI tooling
- A business that wants data to drive decisions not just report on them
If this sounds like something you would be interested in drop me a message - kumbirai.mafini@opus.com
Data Architect | £90k to £100k + Bonus | Fully Remote employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect | £90k to £100k + Bonus | Fully Remote
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual 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
Prepare for those interviews! Research the company’s data strategy and think about how your experience aligns with their needs. Be ready to discuss real-time data insights and how you can influence decision-making at the board level.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your work with GCP, BigQuery, and Looker. Include case studies where you've turned complex data into actionable insights, especially if you’ve worked with AI or LLMs.
✨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 and engaged with our platform.
We think you need these skills to ace Data Architect | £90k to £100k + Bonus | Fully Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Architect role. Highlight your hands-on experience with GCP, BigQuery, and Looker, as well as any relevant projects that showcase your ability to turn data into actionable insights.
Craft a Compelling Cover Letter: Use your cover letter to tell your story! Explain why you're passionate about data and how your background makes you the perfect fit for this role. Don’t forget to mention your experience in influencing senior stakeholders and translating complex data into clear narratives.
Showcase Your Technical Skills: In your application, be sure to highlight your technical prowess, especially in Python and modern data engineering practices. If you've worked with LLMs or AI, share specific examples of how you've applied these technologies to solve real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you on the path to joining our team!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data architecture, especially focusing on GCP, BigQuery, and Looker. Be ready to discuss specific projects where you’ve designed scalable data architectures and how they impacted business decisions.
✨Craft Your Data Story
Prepare to articulate how you've turned complex data into actionable insights for senior stakeholders. Think of examples where your data storytelling influenced strategy or product development, and practice explaining these in a clear, engaging way.
✨Showcase Your Curiosity
This role values curiosity and impact, so be prepared to discuss how you stay updated with the latest trends in data and AI. Share any personal projects or research that demonstrate your passion for exploring new technologies and methodologies.
✨Engage with Real-Time Scenarios
Since the role involves working with real-time data, think of instances where you've dealt with event-driven data. Be ready to discuss how you identified trends and opportunities in such datasets, and how you would approach similar challenges in this new role.
