At a Glance
- Tasks: Design and maintain scalable data architectures to drive business growth.
- Company: Join a friendly team at STARK Building Materials UK, committed to quality and service.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and extensive health benefits.
- Other info: Great opportunities for professional development and career progression.
- Why this job: Make a real impact by shaping data strategies in a supportive environment.
- Qualifications: Experience in enterprise data architecture and strong problem-solving skills required.
The predicted salary is between 72000 - 88000 £ per year.
We're proud to be part of STARK Building Materials UK and dedicated to providing top-quality products and exceptional service to our customers. We're a friendly and collaborative team, passionate about what we do and committed to doing it well. We’re looking for an Enterprise Data Architect to join us at our Huddersfield office on a permanent basis.
You will act as the enterprise data architect and contribute to the enterprise architecture vision and strategy, to accelerate and/or enable business growth. Design and maintain reliable, scalable, and accessible data architectures that meet evolving business objectives. Ensure data services, products, and solutions are aligned to both architecture and engineering standards, supporting operational, strategic, and tactical needs. Ensures that data models, data flows, and technical designs meet both operational and analytical needs while aligning with global architecture standards and best practices.
Knowledge, Skills, Qualifications and Experience Required
- Extensive experience in enterprise data architectures, data modelling methods and technologies, and solution design within complex organisations.
- Ability to optimise data architectures for performance, scalability, reusability, and long-term sustainability.
- Be a systems thinker, delivering transformative change, with a growth mindset and value creation as your core - always, embracing experimentation.
- Proven ability to align technical solutions with business strategy, enterprise architecture, and engineering standards - ensuring strong data governance foundations are built/adhered to.
- Material expertise in data modelling techniques (conceptual, logical, and physical) and relevant toolsets (e.g., ER/Studio, Erwin, dbt, SQL modelling frameworks).
- Complementary experience in enterprise application, integration, and technology architectures with material experience in business architecture.
- Strong knowledge of enterprise data platforms, public cloud services (e.g., Amazon Web Services, Databricks, Microsoft Azure, ServiceNow), and application, data, process, service, and system integration toolsets.
- Experience supporting Master Data Management, Data Governance, and Analytics initiatives.
- Experience of understanding the value of non-functional requirements and how they can be incorporated into a compelling architecture.
- Awareness of, and preferably practitioner of, CIS, DAMA, INCOSE, ITIL, and/or TOGAF.
- Ability to evaluate and recommend emerging technologies and alternative approaches.
- Strong expertise and experience in multi-modal delivery methods.
Key Result Areas
- Alignment of data services, products and solution designs with the enterprise architecture mission, vision, and strategy.
- Engaging with business stakeholders to understand data requirements and translate them into effective architectures.
- Development and maintenance of the enterprise data architecture, ensuring it is resilient, scalable, and meets current and future business requirements.
- Establish and maintain architecture standards, best practices, and documentation.
- Creating artefacts appropriate for different technical and business audiences.
- Providing thought leadership on how, where, and when, to consolidate services and systems, by exploiting existing capabilities.
- Contributes to a modern, fit-for-purpose data estate that adopts democratization, self-service, and enables advanced analytics.
- Working closely with application, connectivity, integration, platform, and security engineering teams to simplify and automate the landscape, ensuring reliability, scalability, and accessibility.
- Working closely with data engineering to simplify and streamline data flows and pipelines, across the organisation, within Group and extending into our Supply Chain, ensuring reliability, timeliness, quality, and accessibility.
- Supporting data engineering in designing and implementing data models that underpin master data management (MDM), analytics, and reporting.
- Ensure data models and architecture support data governance and data quality.
- Establish and maintain data modelling standards, best practices, and documentation - create high-quality conceptual, logical, and physical data models, and produce key models as required.
- Leading iterative reviews of data architectures and models, continuously refining processes based on feedback from users, performance metrics, and business dynamics.
- Identifying and exploiting common patterns, synergies and similarities to promote re-usability and the future proofing of data services, products, and solutions.
- Assessment of emerging data products, platforms, and services; providing objective evaluations and recommendations, including pros and cons of different approaches.
- Monitoring emerging trends and technologies in data architecture and modelling, advising on their potential adoption and business value.
What’s in it for you?
- Hybrid Working – 4 days at our Huddersfield office and 1-day WFH.
- Discretionary bonus.
- Retirement savings plan.
- Life assurance.
- Enhanced maternity/paternity/adoption leave for anyone expecting or adopting a child.
- A wide range of voluntary benefits including holiday buying, discounted gym membership, car salary sacrifice scheme, Cycle2Work, Benenden Healthcare and more.
- Access to a wealth of health and wellbeing services including access to online GP appointments and mental health support.
- WorkPerks – A platform home to hundreds of all your favourite high street and online discounts via the provider Reward Gateway.
Why Choose Us?
- Quality - We’re unwavering in our commitment to providing outstanding products and service that exceed our customers’ expectations.
- Supportive Environment - Join a culture that prioritises your growth, with the resources and support you need to excel.
- We listen and learn – we know we’ve not always got all the answers – listening and learning with you is what helps provide the best service to our customers.
- Professional Development - We are invested in your success! You have a real chance to progress- the only limits are your own. Explore our apprenticeships, training, and mentoring programs designed to elevate your career.
- Great Benefits - Enjoy a compelling package that includes a competitive salary, bonuses, pension schemes, and life assurance, among many other perks!
- Work-Life Balance - We value your well‑being and offer flexible working hours and a hybrid working model to help you find your ideal rhythm.
What's Next
If your application is successful, our Talent team will reach out to arrange an interview and answer any questions you may have. We are committed to providing reasonable adjustments to ensure you can perform at your best throughout the application and interview process.
Enterprise Data Architect employer: Stark Group
STARK Group is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Coventry. With opportunities for hybrid working, a discretionary bonus, and a range of employee benefits, we prioritise your growth and well-being, making this role not just a job, but a meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Enterprise Data Architect
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 Stark Group, 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 Stark Group. 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 Stark Group
✨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 Stark Group!
✨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.
