Enteprise Data Architect

STARK Building Materials UK

Coventry

Híbrido

GBP 90.000 - 120.000

Jornada completa

hace 20 horas
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Ventajas ofrecidas por este puesto de trabajo

Hybrid working
Discretionary bonus
Retirement savings plan
Life assurance
Health & wellbeing benefits
Cycle2Work / gym discounts

Descripción de la vacante

STARK Building Materials UK is seeking an Enterprise Data Architect for our Huddersfield/Coventry region. You will lead the enterprise data architecture, shaping strategy and driving scalable, reliable data solutions that meet both operational and analytical needs.

Collaborate with engineering, security, and business teams to ensure governance and standardisation across the data landscape. The role emphasizes designing conceptual, logical, and physical data models, enabling data democratization

Formación

  • Extensive experience in enterprise data architectures and data modelling within complex organisations.

Responsabilidades

  • Align data services and solution designs with the enterprise architecture mission, vision, and strategy.

Conocimientos

Data architecture
Data modelling
Governance
Stakeholder alignment
Cloud platforms

Educación

Bachelor's degree in a related field

Herramientas

ER/Studio
Erwin
dbt
SQL modelling

Descripción del empleo

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 meets 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, SQLmodelling 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?
  • Competitive Base salary
  • Hybrid Working – 4 days at our Coventry 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 haven’t 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! Can we add this instead? 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.

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