At a Glance
- Tasks: Lead the design of a cutting-edge data and AI platform for renewable energy.
- Company: Join RES, the world's largest independent renewable energy company.
- Benefits: Enjoy competitive pay, diverse benefits, and opportunities for personal growth.
- Other info: Be part of a diverse team dedicated to solving global challenges.
- Why this job: Make a real impact in the renewable energy sector with innovative data solutions.
- Qualifications: Experience in data architecture and cloud platforms, with strong leadership skills.
The predicted salary is between 81000 - 99000 £ per year.
Do you want to work to make Power for Good? We're the world's largest independent renewable energy company, guided by a vision to create a future where everyone has access to affordable, zero carbon energy. Achieving our ambitions would be impossible without our people, as we tackle some of the world's toughest problems. We continually invest in our diverse workforce, promising rewarding work that makes a real impact, opportunities to learn from inspiring colleagues, and personal and professional growth.
Are you ready to shape the future of data-driven decision-making across one of the world’s leading renewable energy businesses? At RES, we are driving transformation through the power of data and insights – and we’re looking for a visionary Data Architect to lead the way. In this pivotal role, you will be responsible for designing and delivering a scalable, secure, and future-ready data and analytics platform that will serve as the single source of truth for our enterprise. Your mission is to empower teams across the business with reliable, real-time insights that drive smarter, faster, and more impactful decisions.
You’ll sit within our Data & Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you’re passionate about cloud data platforms, enterprise data architecture, and making data accessible and actionable, we want to hear from you.
Key accountabilities include but are not limited to:
- Own the target-state data architecture and platform technical direction for the Azure data and AI platform and analytics ecosystem.
- Ensure the platform is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML.
- Lead data and AI architecture and platform decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors.
- Set data and AI platform architectural standards and guardrails, design and lead security and privacy including legislation and regulative standards.
- Lead data and AI platform strategy and roadmap and technical debt remediation, drive tooling and implementations.
- Coach the IT team, central and regional data and AI architects, engineers and analytics engineers on best practices.
- Ensure data and AI is managed effectively and made available to services in the right way.
Skills
- Deep and significant skills in global data and AI architecture, data engineering, data platforms and analytics leadership roles.
- TOGAF certification (preferred) or demonstrable experience in enterprise data and AI architecture.
- Strong cloud platform data and AI architecture and platform capability.
- Effective communicator with strong influencing, negotiating, and relationship building skills.
- Able to work independently, manage competing priorities, and lead through change.
- High attention to detail, integrity, and commitment to ethical data use.
Qualifications and Experience
- Bachelor’s degree in data, AI, Architecture, Analytics, Data Science, or a related field.
- Extensive experience in data architecture and platform management and operations.
- Proven delivery of cloud-based data and AI platforms with governance, security and scalable analytics consumption.
- Demonstrable experience in designing and delivering Microsoft Fabric data and AI foundations.
- Leadership and line management of data/AI architecture and platform team.
- Experience establishing data and AI architecture standards and technical assurance processes.
- In-depth knowledge and practical implementation of compliance frameworks and global employment regulations.
It is mandatory that you have proven experience in data architecture/engineering for ERP integration and migration from legacy to modern platforms. You must have full UK work rights, no sponsorship available.
At RES, we celebrate difference as we know it makes our company a great place to work. We encourage applicants with different backgrounds, ideas and points of view, creating teams who work together to solve complex problems and design practical solutions for our clients.
Senior Data and AI Architecture and Platform Lead in Glasgow employer: Renewable Energy Systems
At RES, we are committed to fostering a supportive and inclusive work environment where every employee can thrive. As the world's largest independent renewable energy company, we offer our IT Business Analysts not only competitive benefits but also unparalleled opportunities for personal and professional growth within a diverse and collaborative team. Join us in making a meaningful impact on the future of energy while working alongside inspiring colleagues in a culture that values innovation and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data and AI Architecture and Platform Lead in Glasgow
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Renewable Energy Systems.
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We think you need these skills to ace Senior Data and AI Architecture and Platform Lead in Glasgow
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 Renewable Energy Systems, 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 Renewable Energy Systems. 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 Renewable Energy Systems
✨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 Renewable Energy Systems!
✨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.
