At a Glance
- Tasks: Design and implement innovative data solutions for large-scale environments.
- Company: Join a forward-thinking company focused on data excellence.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Active SC Clearance required; we value diversity and encourage all to apply.
- Why this job: Make a real impact by enhancing data quality and driving AI innovations.
- Qualifications: Experience in data architecture and strong skills in entity resolution.
The predicted salary is between 72000 - 88000 £ per year.
- Data Architect
- Must have an Active SC Clearance
You will work with large-scale data environments, applying innovative approaches to improve data quality, establish trusted master records, and enable AI-driven data matching.
The position is ideal for an experienced Data Architect with deep expertise in Entity Resolution, Master Data Management, and large-scale data integration who can deliver high-quality solutions that exceed customer expectations.
Responsibilities
- Lead the design and implementation of enterprise Entity Resolution solutions across multiple data sources.
- Design scalable Master Data Management (MDM) architectures and Golden Record models.
- Develop record linkage, matching, deduplication, clustering, and survivorship strategies.
- Define entity hierarchies, data standards, and data governance processes.
- Monitor and improve matching accuracy, precision, recall, and platform scalability.
- Support AI and Machine Learning approaches to improve entity matching and data quality.
- Collaborate with technical and business stakeholders to deliver high-quality data solutions.
- Produce architecture documentation and ensure delivery against agreed programme milestones.
Skills and Experience
- Proven experience as a Data Architect delivering large-scale data solutions.
- Strong expertise in Entity Resolution and Master Data Management (MDM).
- Experience designing Golden Record models, entity hierarchies, and data governance frameworks.
- Strong knowledge of record linkage, deduplication, clustering, and matching algorithms.
- Experience implementing survivorship rules, standardisation, and data merging strategies.
- Experience working with AI and Machine Learning techniques for entity matching is highly desirable.
- Strong understanding of enterprise data architecture, data quality, and large-scale data integration.
- Excellent stakeholder engagement, communication, and analytical skills.
- Experience delivering fixed‑scope projects to challenging timescales.
- Security Clearance
Must have an Active SC Clearance. Successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks.
Equity and Inclusion
We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply.
If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
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Data Architect - SC Cleared in London employer: LA International
LA International is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Amazon Connect Engineers to thrive. With a focus on employee growth and development, the company offers opportunities for skill enhancement and career progression, all while working in a hybrid environment that promotes work-life balance. Located in a vibrant area, employees benefit from a dynamic atmosphere that encourages creativity and teamwork, ensuring a rewarding and meaningful employment experience.
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We think this is how you could land Data Architect - SC Cleared in London
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We think you need these skills to ace Data Architect - SC Cleared in London
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LA International. 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!
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✨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!
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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
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✨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.
