At a Glance
- Tasks: Migrate legacy databases to Azure PostgreSQL while ensuring performance and stability.
- Company: Join a UK central government programme with a focus on modernisation.
- Benefits: £700 per day, flexible work with one day in Manchester.
- Other info: Hands-on role with opportunities for professional growth.
- Why this job: Make a significant impact by transforming data systems for the future.
- Qualifications: Expertise in PostgreSQL, data migration, and governance required.
The predicted salary is between 60750 - 74250 £ per year.
A UK central government programme is replacing a large legacy debt management system and is hiring a senior data architect to take the data across. This is a hands-on seat. The job involves understanding how an old database behaves, migrating it onto Azure PostgreSQL, and ensuring it remains fast and stable.
What you will do:
- Analyse and tune the legacy database — indexing, query plan optimisation, integrity checks, and stored procedure behaviour.
- Keep database environments stable and healthy through proactive monitoring, maintenance, and optimisation.
- Deliver the migration onto Azure, including AKS, managed services, and the modernisation strategy.
- Design scalable conceptual, logical, and physical data models.
- Create and maintain data governance documentation, standards, and data lineage artefacts.
- Apply data security measures across access control, encryption, auditing, and compliance.
What you need:
- Advanced PostgreSQL, including performance tuning, replication, and high availability.
- Database performance tuning expertise — indexing, query plan optimisation, integrity checks, stored procedure behaviour analysis.
- Hands-on data migration to Azure — AKS, managed services, modernisation strategies.
- Proven conceptual, logical, and physical data modelling.
- Data governance documentation, standards, and data lineage.
- Data security — access control, encryption, auditing, compliance.
The package:
- Inside IR35.
- One day a week on site in Manchester, four from home.
- Duration being confirmed and will be shared before application.
Senior Data Architect in Manchester employer: AGNTX
As a Software Architect with us, you'll be part of a forward-thinking team that values innovation and collaboration in a hybrid work environment across vibrant cities like Newcastle, Birmingham, Leeds, or Manchester. We offer competitive daily rates, a modern tech stack, and the unique opportunity to lead a cloud-native public sector service through its scaling journey, all while fostering your professional growth in a supportive culture that prioritises employee development and meaningful contributions to society.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AGNTX!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Architect at AGNTX.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AGNTX.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Architect at AGNTX, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Architect in Manchester
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AGNTX, 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 AGNTX. 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 AGNTX
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AGNTX!
✨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.
