At a Glance
- Tasks: Lead the design of innovative data solutions and improve entity resolution across large datasets.
- Company: Join a dynamic team supporting public sector clients with impactful data architecture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with immediate contributions to an established data programme.
- Why this job: Make a real difference in data management while working on exciting projects.
- Qualifications: Proven experience in data architecture and entity resolution, with strong technical skills.
The predicted salary is between 72000 - 88000 £ per year.
Responsibilities
- Lead the design and implementation of entity resolution and matching solutions across multiple data sources and large data volumes.
- Develop record linkage, deduplication, clustering and matching algorithms to support accurate identification and consolidation of entity data.
- Define and manage golden record and master data models, including entity hierarchies and data ownership rules.
- Establish and maintain standards for data standardisation, matching, survivorship and record merging across the data estate.
- Monitor and continuously improve entity resolution performance, including accuracy, precision, recall and scalability metrics.
- Collaborate with data engineers, analysts and business stakeholders to ensure entity resolution outputs support downstream analytics and decision-making.
- Produce clear architectural documentation and governance artefacts for both technical and non-technical audiences.
We are supporting a public sector client in hiring a Data Architect with strong expertise in Entity Resolution and Master Data Management. The role will focus on designing and implementing scalable, secure and high-quality data architectures that enable accurate matching, deduplication and linkage of complex datasets to support decision-making and analytics across the organisation. This is a senior, hands-on architecture role requiring someone who can operate at both the strategic and technical level, for defining data models, establishing governance rules and leading the implementation of entity resolution solutions across large, complex and multi-source data environments. This role suits an experienced Data Architect with a strong master data management (MDM) and entity resolution background, comfortable working in a fast-paced public sector environment and contributing immediately to an established data programme.
Requirements
- Proven experience as a Data Architect with deep expertise in Entity Resolution and Master Data Management.
- Experience with AWS.
- Hands-on experience designing and implementing record linkage, deduplication and matching solutions across large, complex datasets.
- Strong understanding of golden record design, master data modelling and entity hierarchy management.
- Experience defining and applying data standardisation, survivorship and merging rules across multi-source environments.
- Ability to assess and improve entity resolution performance across accuracy, precision, recall and scalability dimensions.
- Strong data modelling background including logical, physical and conceptual model design.
- Comfortable producing clear architectural documentation and engaging senior stakeholders across both business and technical audiences.
Desirable Skills
- AI and machine learning experience applied to entity matching, probabilistic record linkage or similarity scoring.
- Experience within public sector or regulated data environments.
- Familiarity with cloud-based MDM or entity resolution tooling.
- Experience working within Agile delivery environments alongside data engineering and analytics teams.
Data Architect (SC Cleared) in City of Westminster employer: Montash Limited
Montash Limited is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of South England. With a strong focus on employee growth, the company provides opportunities for professional development and the chance to work on impactful projects involving large datasets. The hybrid work model ensures flexibility while maintaining a supportive team environment, making it an attractive place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (SC Cleared) in City of Westminster
✨Get Involved in Data Science Meetups
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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 Montash Limited.
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We think you need these skills to ace Data Architect (SC Cleared) in City of Westminster
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 Montash Limited, 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 Montash Limited. 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 Montash Limited
✨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 Montash Limited!
✨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.
