At a Glance
- Tasks: Lead the discovery and documentation of complex data architecture and governance.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work with cutting-edge technologies.
- Why this job: Shape the future of data architecture and make a significant impact.
- Qualifications: Extensive experience in data architecture and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
Data Architect is required to lead the discovery and documentation of a complex data estate, establishing a clear understanding of the current data architecture, quality, governance and migration requirements, while also supporting the procurement and design of a future replacement solution.
You will be responsible for
- Leading discovery and documenting the current data architecture and data estate.
- Analysing data quality, lineage, models, dependencies, interfaces and integration patterns.
- Developing conceptual, logical and physical data models.
- Assessing data migration, transformation and legacy system challenges.
- Documenting data governance, ownership, stewardship and authoritative data sources.
- Working with architects, suppliers, service owners and business stakeholders through workshops.
- Producing data architecture artefacts to support procurement, supplier information and future solution design.
Required experience and skills
- Extensive data architecture experience across enterprise, application and integration environments.
- Legacy data environments and migration programmes experience.
- Strong knowledge of data modelling, lineage, metadata and data governance.
- Experience with data quality assessment, profiling and remediation.
- Deep understanding of GDPR, information management and data protection requirements.
- Experience identifying system dependencies, interfaces and integration patterns.
- Experience using AI-enabled discovery or reverse-engineering tools will be beneficial.
- Strong stakeholder management and workshop facilitation skills.
- Experience producing architecture documentation for procurement or supplier engagement.
Data Architect/ discovery project in London employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect/ discovery project in London
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We think you need these skills to ace Data Architect/ discovery project 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!
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 Careerwise Uk, 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 Careerwise Uk. 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 Careerwise Uk
✨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 Careerwise Uk!
✨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.
