Data Architect – Enterprise Data & Governance Leader

Data Architect – Enterprise Data & Governance Leader

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Prosource

At a Glance

  • Tasks: Shape data architecture and lead integrated solutions for a major regulatory programme.
  • Company: Prosource, a people-centred technology team focused on data governance.
  • Benefits: Permanent role with a collaborative environment and strong emphasis on career growth.
  • Other info: Opportunities available in Glasgow, Perth, or Aberdeen.
  • Why this job: Make a real impact on data strategy and delivery while working with diverse teams.
  • Qualifications: Experience in data architecture and leadership skills.

The predicted salary is between 72000 - 88000 £ per year.

Prosource is seeking two Data Architects to join a people-centred technology team, supporting a major regulatory programme.

You will shape data architecture, ensure scalable, integrated solutions and provide leadership across strategy and delivery.

Based in Glasgow, Perth or Aberdeen, this permanent role offers a collaborative environment with strong emphasis on data governance, interoperability and long-term business outcomes.

You’ll work closely with stakeholders and cross-functional teams.

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Data Architect – Enterprise Data & Governance Leader employer: Prosource

Prosource is an excellent employer, offering a dynamic work culture that prioritises employee development and collaboration. With a competitive salary and a comprehensive benefits package, employees are encouraged to grow through training incentives while working on impactful technology projects in a supportive remote environment.

Prosource

Contact Details:

Prosource Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect – Enterprise Data & Governance Leader

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Apply Directly through Our Website

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We think you need these skills to ace Data Architect – Enterprise Data & Governance Leader

SQL
Data Pipeline Development
Data Governance
Communication Skills
Python
Data Engineering
API Integration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Prosource, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Prosource. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Prosource

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Prosource!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.