DATA ARCHITECT / SENIOR DATA ARCHITECT

DATA ARCHITECT / SENIOR DATA ARCHITECT

Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead data architecture for innovative projects and design effective data models.
  • Company: Join a forward-thinking organisation focused on modernisation and data excellence.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Shape the future of data architecture and make a real impact in service transformation.
  • Qualifications: Extensive experience in data architecture design and cloud technologies.

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

As a Senior Data Architect, you will provide strategic data architecture leadership for the New Style Modernisation Programme. You will design and govern data architectures that support the effective management, integration and reuse of data across services and systems, ensuring data remains a trusted and valuable organisational asset.

Working closely with business stakeholders, architects, engineers and delivery teams, you will develop data models, metadata standards and governance frameworks that support programme outcomes. You will provide expert guidance on complex data challenges, promote good architectural practice, and ensure solutions align with departmental standards, technology strategy and government best practice.

You will also help shape future data capabilities within Working Age Services, supporting service transformation through modern data architecture approaches, including cloud-native and event-driven patterns, while enabling successful delivery of New Style Modernisation objectives.

A Senior Data Architect works with multiple projects or teams on problems that require broad architectural thinking.

At this role level, you will:

  • Design data models and metadata systems.
  • Help lead data architects to interpret an organisation's needs.
  • Provide oversight and advice to other data architects who are designing and producing data artefacts.
  • Design and support the management of data dictionaries.
  • Ensure that your teams are working to the standards set for the organisation by the lead data architects.
  • Work with technical architects to ensure that an organisation's systems are designed in accordance with the appropriate data architecture.

When giving details in your employment history and personal statement you should highlight your experience in line with essential criteria below:

  • Data Architecture design and modelling techniques, patterns, tools and standards.
  • Presenting data architecture design to technical governance forums.
  • Data Architecture Design: Data Modelling, Master Data Management (MDM), Metadata Management, Data Governance.
  • Event-based architecture design, patterns (including pub-sub and data streaming), modelling techniques, tools and standards.
  • Public cloud technologies, cloud hosting, container, and networking design patterns, tools and best practice (e.g. Amazon Web Services, Microsoft Azure, Google Cloud Platform).
  • Agile delivery methodologies and best practice.
  • DevOps: Continuous Integration (CI) and Continuous Delivery (CD) delivery methodologies, tools and best practice.
  • Shaping and supporting technology initiatives, projects, programmes and portfolios.

We'll assess you against these behaviours during the selection process:

  • Communicating and Influencing
  • Leadership
  • Working Together

We'll assess you against these technical skills during the selection process:

  • Communicating Data (Practitioner)
  • Data governance (data architect) (Practitioner)
  • Data modelling (Practitioner)
  • Data standards (data architect) (Practitioner)
  • Metadata management (Practitioner)
  • Turning business problems into data design (Practitioner)

DATA ARCHITECT / SENIOR DATA ARCHITECT employer: Intelligent Resourcing Solutions Ltd

Join our dynamic team as a Java Developer, where you'll have the opportunity to work on cutting-edge technologies in a collaborative and innovative environment. We prioritise employee growth through continuous learning and development opportunities, while our commitment to excellence ensures that your contributions directly impact our projects and client satisfaction. Located near London, we offer a flexible work culture that values work-life balance and encourages creativity and problem-solving.

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Contact Details:

Intelligent Resourcing Solutions Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DATA ARCHITECT / SENIOR DATA ARCHITECT

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We think you need these skills to ace DATA ARCHITECT / SENIOR DATA ARCHITECT

Data Architecture Design
Data Modelling
Master Data Management (MDM)
Metadata Management
Data Governance
Event-based Architecture Design
Cloud Technologies

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!

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Craft a Tailored Cover Letter:For a full-time role at Intelligent Resourcing Solutions Ltd, 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 Intelligent Resourcing Solutions Ltd. 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 Intelligent Resourcing Solutions Ltd

✨Brush Up on Your Statistics

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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

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✨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.