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- Tasks: Lead the design of enterprise data architecture and improve data consistency across systems.
- Company: Fast-growing B2B tech company with a focus on innovation and scalability.
- Benefits: Attractive salary, bonus potential, hybrid work model, and career development opportunities.
- Other info: Join a collaborative team driving impactful change in a high-growth setting.
- Why this job: Shape the future of data architecture in a dynamic and evolving environment.
- Qualifications: Experience as a Data Architect with strong data modelling and governance skills.
The predicted salary is between 100000 - 120000 £ per year.
Location: London (Hybrid)
Salary: £100k – £120k + bonus
Finatal are currently partnering with a PE-backed, high-growth B2B technology business that has scaled rapidly through a buy-and-build strategy following recent investment. The organisation is now entering the next phase of maturity, with a clear mandate to bring structure, governance and scalability to its data and systems landscape.
They’re now looking to hire a Data Architect to define and lead the enterprise data architecture, working across a complex environment of multiple systems, fragmented data models and evolving platform decisions.
Role:
- You will define and deliver the enterprise data architecture strategy, bringing structure to a previously decentralised and fragmented data environment.
- You will design conceptual, logical and physical data models, establishing canonical models and MDM frameworks across core business domains.
- You will map and rationalise multiple systems (CRM, finance, operational platforms), reducing silos and improving data consistency and accessibility.
- You will implement governance frameworks including data lineage, metadata management and impact analysis to support scalable growth.
- You will play a key role in shaping the future data platform, advising on the adoption of technologies such as Snowflake or Microsoft Fabric.
- You will act as a central point of alignment across engineering, BI, finance and operations, ensuring consistent architectural standards and decision-making.
Requirements:
- Proven experience as a Data Architect or Enterprise Data Architect within a scaling or complex environment.
- Strong expertise across data modelling (conceptual, logical, physical), canonical models, and Master Data Management.
- Experience implementing governance frameworks including lineage, metadata, and data standards.
Data Architect employer: Finatal
Contact Detail:
Finatal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving Snowflake or MS Fabric. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of governance frameworks and data modelling. Be ready to discuss how you've tackled complex data environments in the past – real-life examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
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 data modelling, governance frameworks, and any relevant technologies like Snowflake or MS Fabric. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of our needs.
Showcase Relevant Projects: If you've worked on projects that involved complex data environments or implementing governance frameworks, make sure to mention them. We’re keen to see real-world examples of your expertise in action!
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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Finatal
✨Know Your Data Models
Make sure you brush up on your knowledge of conceptual, logical, and physical data models. Be ready to discuss how you've designed these in past roles and how they can be applied to the company's fragmented data environment.
✨Showcase Your Governance Experience
Prepare examples of how you've implemented governance frameworks in previous positions. Highlight your experience with data lineage, metadata management, and how these practices can support scalable growth in a complex environment.
✨Familiarise Yourself with Snowflake & MS Fabric
Since the role involves advising on technologies like Snowflake and Microsoft Fabric, do some research on their features and benefits. Be prepared to discuss how these platforms can enhance the company's data architecture strategy.
✨Emphasise Collaboration Skills
As a Data Architect, you'll need to work across various teams. Think of examples where you've successfully aligned engineering, BI, finance, and operations. Show that you can facilitate consistent architectural standards and decision-making.