At a Glance
- Tasks: Lead the design of a high-performance data matching platform for complex data sources.
- Company: Join a major data transformation programme with a focus on innovation.
- Benefits: Competitive salary, opportunities for growth, and involvement in cutting-edge projects.
- Other info: Be part of a business-critical project with ongoing opportunities.
- Why this job: Tackle exciting data challenges using AI/ML in a dynamic environment.
- Qualifications: Experience in Entity Resolution and MDM, with strong data architecture skills.
The predicted salary is between 60000 - 80000 £ per year.
Data Architect: Entity Resolution & Master Data Management
We're supporting a major data transformation programme and are looking for an experienced Data Architect with deep expertise in Entity Resolution and Master Data Management (MDM) to deliver a business-critical project at significant scale.
This is an opportunity to lead the design and implementation of a high-performance data matching platform, enabling accurate entity resolution across multiple complex data sources. AI/ML-driven matching will play a key role, making this an exciting engagement for someone who enjoys solving complex data challenges.
Key Responsibilities
- Design and implement scalable Entity Resolution and MDM architectures.
- Develop record linkage, matching, deduplication and clustering solutions across large datasets.
- Define and manage golden record models, master data and entity hierarchies.
- Establish matching, standardisation, survivorship and merge rules.
- Optimise entity resolution performance, accuracy and scalability.
- Support and implement AI/ML-based matching approaches where appropriate.
Key Requirements
- Proven experience as a Data Architect delivering Entity Resolution and MDM solutions.
- Strong understanding of data matching, record linkage, deduplication and golden record design.
- Experience delivering large-scale enterprise data architecture programmes.
- Knowledge of AI/ML approaches for entity matching is highly desirable.
- Active SC or NPPV3 Clearance is required.
Contract Details
- Business-critical programme with a fixed end-of-year delivery and further project work already planned.
- Interviews taking place as suitable candidates are identified.
Data Architect in Coventry employer: Empiric
Empiric is an exceptional employer for those looking to kickstart their career in tech recruitment, offering a vibrant work culture at their London HQ. With uncapped commission potential and comprehensive training, employees are empowered to achieve their goals while enjoying modern office perks and flexible working arrangements. The focus on personal growth and success makes Empiric a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Coventry
✨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 Empiric 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 Empiric.
✨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 Empiric.
We think you need these skills to ace Data Architect in Coventry
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Empiric, 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 Empiric, 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 Empiric’s attention and show the tangible impact of your work.
How to prepare for a job interview at Empiric
✨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 Empiric.
✨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 Empiric.
✨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 Empiric.
