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- Tasks: Lead data governance and shape the future of data architecture in a dynamic financial services environment.
- Company: Innovative financial services firm with a focus on data transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation and make a significant impact.
- Qualifications: 5+ years in data architecture, experience with data lakes, and strong communication skills.
- Other info: Join a collaborative team and drive a data-first culture.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We’re looking for a Data Architect who can take ownership of enterprise‑wide data governance and shape the future of data architecture across a complex, fast‑moving financial services environment. If you’re passionate about building scalable, compliant, cloud‑ready data ecosystems, this role puts you right at the centre of transformation.
What You’ll Be Doing
- Developing and embedding governance frameworks covering ownership models, metadata strategy, lifecycle policies, and retention standards.
- Leading cross‑functional governance activity, including chairing a Data Governance Council and driving stewardship across the organisation.
- Defining and enforcing data quality standards while ensuring alignment with GDPR, CCPA, and wider regulatory expectations.
- Designing and delivering modern data platforms, supporting cloud adoption, and shaping architecture across data lakes, warehouses, and content systems.
- Promoting a data‑first culture through training, awareness, and best‑practice enablement.
What You’ll Bring
- Strong experience in data architecture and modelling (conceptual, logical, physical).
- Background working with data lakes, warehouses, and master data management.
- Hands‑on skills in ETL/ELT, integration, and orchestration.
- Familiarity with Azure, Fabric, PowerBI, SQL Server, and PostgreSQL.
- 5+ years’ recent experience in financial services or fintech.
- Certifications such as Azure/Fabric Data Engineer Associate or SnowPro Advanced Architect.
- Experience designing analytics platforms in regulated environments.
Personal Qualities
- Confident communicator with strong stakeholder engagement skills.
- Analytical, detail‑driven, and structured in your approach.
- Collaborative leader who enjoys influencing and enabling others.
- Commercially aware with a customer‑centric mindset.
If you’re ready to lead data governance and architecture in a high‑impact role, get in touch for a confidential conversation.
Data Architect in England employer: Pinnova Talent
Contact Detail:
Pinnova Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Data Architect role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving data lakes and cloud platforms. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance frameworks and compliance standards like GDPR. Be ready to discuss how you've implemented these in past roles, as this will demonstrate your expertise and fit for the position.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with data governance, architecture, and any relevant technologies like Azure or SQL Server. 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! Share your passion for building scalable data ecosystems and how you’ve led governance activities in the past. Let us know why you're excited about this role and how you can contribute to our team.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics where possible to demonstrate how you've improved data quality or driven successful projects. We love seeing the impact you've made in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your application!
How to prepare for a job interview at Pinnova Talent
✨Know Your Data Architecture Inside Out
Make sure you brush up on your data architecture knowledge, especially around data lakes, warehouses, and master data management. Be ready to discuss your hands-on experience with ETL/ELT processes and how you've implemented these in previous roles.
✨Showcase Your Governance Experience
Prepare examples of how you've developed and embedded governance frameworks in past positions. Highlight any experience chairing councils or leading cross-functional teams, as this will demonstrate your leadership skills and ability to drive stewardship across an organisation.
✨Familiarise Yourself with Relevant Technologies
Since the role requires familiarity with Azure, Fabric, PowerBI, SQL Server, and PostgreSQL, make sure you can speak confidently about your experience with these tools. If you have certifications like Azure/Fabric Data Engineer Associate, be sure to mention them!
✨Communicate Your Collaborative Spirit
As a Data Architect, you'll need to engage with various stakeholders. Prepare to discuss how you've influenced and enabled others in your previous roles. Use specific examples that showcase your confident communication and customer-centric mindset.