At a Glance
- Tasks: Lead data architecture for a public sector project, ensuring secure data sharing and governance.
- Company: Join a forward-thinking organisation focused on impactful public sector solutions.
- Benefits: Competitive daily rate, flexible remote work, and potential for long-term engagement.
- Other info: Opportunity to collaborate with diverse teams and influence key decisions.
- Why this job: Shape the future of data architecture while making a difference in the public sector.
- Qualifications: Experience in enterprise data architecture, governance, and cloud platforms required.
The predicted salary is between 72000 - 88000 £ per year.
Location: Remote - Once or twice across the contract onsite to your local office
Salary: 550 - 580 per day
IR35 - Inside ir35
10 Week Discovery with an option to go on for 2 years
Provided data architecture leadership for a large-scale public sector discovery, defining the data strategy, governance framework, and information architecture required to enable secure data sharing across multiple organisations.
Key Responsibilities
- Led the data architecture workstream, identifying data risks, dependencies, and opportunities across complex organisational landscapes.
- Defined target data models, schemas, and integration requirements to support operational and analytical outcomes.
- Designed scalable data architecture patterns, including cloud-based data platforms, APIs, and data-sharing solutions.
- Established information governance, data protection, and security frameworks to ensure compliance with regulatory and organisational standards.
- Collaborated with delivery, product, business analysis, and engineering teams to develop data-driven prioritisation and decision-support models.
- Validated data architecture assumptions through prototyping and user testing, translating findings into future-state architecture recommendations.
- Produced data strategy, governance, and architectural outputs to support progression into the next phase of delivery.
- Provided expert advice to senior stakeholders on data management, interoperability, and information governance.
Skills & Experience
- Enterprise Data Architecture and Strategy
- Data Modelling (Conceptual, Logical, Physical)
- Data Governance, Metadata Management, and Information Assurance
- Data Sharing, Privacy, GDPR, and Security Frameworks
- Cloud Data Platforms (AWS, Azure)
- Data Lakes, API-Based Integration, and Modern Data Architectures
- ArchiMate, UML, and Enterprise Architecture Modelling
- Agile Discovery and Service Design
- Stakeholder Engagement and Technical Leadership
Senior Data Architect Public Sector Hybrid Discovery Phase Programme employer: Opus Recruitment Solutions
Opus Recruitment Solutions is an excellent employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With opportunities to work on high-profile projects across major UK cities, employees benefit from a hybrid working model that promotes work-life balance while engaging in meaningful work that makes a difference. The company values innovation and collaboration, ensuring that every team member can contribute to creating accessible and scalable solutions.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect Public Sector Hybrid Discovery Phase Programme
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Opus Recruitment Solutions before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Opus Recruitment Solutions.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Opus Recruitment Solutions.
We think you need these skills to ace Senior Data Architect Public Sector Hybrid Discovery Phase Programme
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Opus Recruitment Solutions, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Opus Recruitment Solutions, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Opus Recruitment Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Opus Recruitment Solutions.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Opus Recruitment Solutions.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Opus Recruitment Solutions.
