At a Glance
- Tasks: Lead data architecture for a public sector client, migrating databases to Azure.
- Company: Join a forward-thinking organisation focused on data modernisation.
- Benefits: Remote work, competitive pay, and potential for permanent position.
- Other info: Dynamic role with opportunities for career growth and collaboration with talented teams.
- Why this job: Make a real impact in data management and architecture while working with cutting-edge technology.
- Qualifications: Experience as a Data Architect with strong data modelling skills required.
The predicted salary is between 55000 - 65000 £ per year.
We are supporting a public sector client in hiring a Data Architect to join a data modernisation programme already underway. The programme is migrating an existing on-premises database environment to Azure, and these roles have arisen due to an urgent need to address data management challenges and improve data architecture across the organisation.
This is a senior architecture role requiring someone who can assess and document the existing data landscape, define the target state architecture and provide hands-on oversight across both on-premises and Azure environments. The successful candidate will work closely with Data Engineers and programme stakeholders to ensure the architectural design is sound, well documented and deliverable within the constraints of a mid-delivery programme.
This role suits an experienced Data Architect with a strong data modelling background, comfortable joining a programme in flight and providing both strategic architectural direction and practical delivery support. Candidates with experience across SQL Server, Azure SQL Database, Azure Data Factory and Databricks are particularly encouraged to apply.
Key Responsibilities- Assess and document existing business application databases and BI and data warehouse systems, producing clear architectural artefacts to support programme continuity and planning.
- Design and own data models including logical and physical models, ensuring they accurately reflect the existing and target state data landscape.
- Define the target state Azure data architecture, covering Azure SQL Database, Azure Data Factory, Databricks and associated components.
- Provide architectural oversight across on-premises SQL Server 2022 activity including staging, landing zone design and integration with existing Qlik and SSRS reporting environments.
- Produce TOAD Data Modeler data models or equivalent artefacts as required, ensuring data models are maintained and accessible across the programme team.
- Guide and support Data Engineers across pipeline development, data movement and transformation activity, ensuring engineering output aligns with the architectural design.
- Work within Azure DevOps for backlog management and CI/CD pipeline governance, maintaining Git-integrated version control across architectural artefacts.
- Engage with senior programme stakeholders to communicate architectural decisions, manage risks and dependencies and ensure alignment with wider programme objectives.
- Proven experience as a Data Architect or Senior Data Modeller across both on-premises and cloud data environments.
- Strong data modelling background including logical, physical and conceptual model design across complex, multi-system data landscapes.
- Hands-on experience with SQL Server 2022 or equivalent, including T-SQL and SSIS in staging and landing zone contexts.
- Proven experience designing and delivering Azure data architectures across Azure SQL Database and Azure Data Factory.
- Experience working within Azure DevOps including backlog management and CI/CD pipeline governance.
- Ability to produce clear, well-structured architectural documentation and data models for both technical and non-technical audiences.
- Comfortable joining a mid-delivery programme, assessing existing work and providing architectural direction quickly.
- Familiarity with TOAD Data Modeler or equivalent data modelling tooling.
- Experience with Azure Databricks and Python Notebooks for advanced data processing and transformation.
- Familiarity with Qlik or SSRS reporting environments and the architectural considerations for supporting them during migration.
- Experience guiding and mentoring Data Engineers within a programme delivery context.
Data Architect (SC Cleared) in England employer: Montash
As a leading employer in the public sector, we offer a dynamic work environment that fosters innovation and collaboration, particularly for our Data Architect role. With the flexibility of remote work and occasional travel to our Cumbria or London offices, we prioritise employee well-being and work-life balance. Our commitment to professional development ensures that you will have ample opportunities to grow your skills while contributing to meaningful data modernisation projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (SC Cleared) in England
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We think you need these skills to ace Data Architect (SC Cleared) in England
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Montash, 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 Montash, 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 Montash’s attention and show the tangible impact of your work.
How to prepare for a job interview at Montash
✨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 Montash.
✨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 Montash.
✨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 Montash.
