Job details

Data Architect

Get a free resume review

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformation change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.

About the role:

As a Data Architect, you will be responsible for designing, implementing, and integrating software solutions, specifically leveraging Microsoft Fabric. You will develop and maintain logical and dimensional data models, ensuring optimisation and efficiency in data management. Additionally, you will work directly with clients to understand their data needs, present tailored solutions, and oversee the delivery of core solution components.

As a Data Architect, you will:

Design, implement, and integrate software solutions using Microsoft Fabric.
Develop and maintain logical and dimensional data models, ensuring scalability and efficiency.
Install, configure, and optimise information systems to meet business requirements.
Lead data migration projects from legacy systems to modern platforms.
Work directly with clients to gather requirements and present data-driven solutions.
Take ownership of the delivery and execution of core data architecture components.
Ensure data governance best practices and compliance with industry standards.

Here are the key skills and experience relevant to this role:

Solid knowledge of Data Architecture principles and best practices.
Proficiency in SQL, Python, Spark (with either Python, Scala, or Java).
Familiarity with Azure DevOps for deployment and version control.
Strong background in Enterprise BI and AI concepts.
Expertise in dimensional modelling and database optimisation.
Experience with data governance processes and frameworks.
Strong reporting and data modelling skills.
Professional certification in Microsoft data & AI services (preferred).

Preferred Experience in the Following Systems/Platforms:

Microsoft Fabric
Azure Synapse Analytics
Oracle
P6 Unifier

At Sword, our core values and culture are based on caring about our people, investing in training and career development and building inclusive teams where we are all encouraged to contribute to achieve success.

We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life. In addition to a Competitive Salary, here's what you can expect as part of our benefits package:

Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.

Flexible working: Flexible work arrangements to support your work-life balance. We can’t promise to always be able to meet every request, however are keen to discuss your individual preferences to make it work where we can.

A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes, an employee assistance programme, discounted cash plan and more…..

At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Your perspective and potential are important to us.

If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Architect, Sword Group

At Sword, we're not just about technology; we're about using technology to drive real transformation into the Energy, Public, and Finance sectors. We're currently on the lookout for a talented Data Architect to join our dynamic team. In this role, you’ll take the lead in designing, implementing, and integrating software solutions, with a strong focus on Microsoft Fabric. You’ll be developing and managing logical and dimensional data models that ensure optimization and efficiency in data management. Collaborating directly with clients, you'll gather their data needs, present tailored solutions, and oversee the delivery of core components. This is a fantastic opportunity to showcase your solid knowledge of Data Architecture principles, SQL, and Python while ensuring compliance with industry standards. At Sword, we’re committed to caring about our people, so expect personalized career development plans and flexible working options for a balanced life. We believe in inclusivity, and we warmly encourage people from all backgrounds to apply—your perspective and potential matter to us!

Frequently Asked Questions (FAQs) for Data Architect Role at Sword Group

What are the responsibilities of a Data Architect at Sword?

As a Data Architect at Sword, your primary responsibilities will include designing, implementing, and integrating software solutions using Microsoft Fabric. You will be responsible for developing and maintaining both logical and dimensional data models, leading data migration projects from legacy systems, and ensuring that data governance best practices are followed.