At a Glance
- Tasks: Lead the design of cloud data platforms and drive data strategies in the insurance sector.
- Company: Dynamic company at the forefront of cloud data solutions in the UK.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for aspiring data professionals.
- Why this job: Make a significant impact on data modernization in a vital industry.
- Qualifications: 12+ years in Data Architecture with expertise in AWS, Databricks, and MongoDB.
The predicted salary is between 70000 - 90000 £ per year.
Experience: 12+ Years
Role Summary
We are seeking a highly experienced Data Architect to lead the design and delivery of enterprise-scale cloud data platforms using AWS, Databricks, and Mongo DB.
In this role, you will drive cloud data strategies and data modernization initiatives for major players in the UK Insurance and Financial Services sectors.
Key Responsibilities
- Define and execute enterprise data architecture and cloud data strategies.
- Design scalable Lakehouse architectures utilizing AWS and Databricks.
- Develop robust conceptual, logical, and physical data models.
- Lead data modernization and cloud migration projects.
- Establish best-in-class frameworks for data governance, security, lineage, and quality.
- Collaborate effectively with business leaders, engineering teams, and executive stakeholders.
- Mentor data engineers and technical project teams.
Required Skills & Domain Expertise
- Mandatory Technical Skills: Extensive background in Data Architecture, AWS, Databricks, and Mongo DB.
- Industry Experience (Must Have): Deep understanding of UK Speciality Insurance and Reinsurance.
- Regulatory Knowledge: Strong familiarity with FCA & PRA Regulations, and Solvency II Reporting.
- Data Modeling: Proven experience with specific Insurance Data Models and reporting structures.
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Data Architect employer: Randstad Staffing
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StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨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 Randstad Staffing!
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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 Randstad Staffing.
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We think you need these skills to ace Data Architect
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 Randstad Staffing, 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 Randstad Staffing. 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 Randstad Staffing
✨Brush Up on Your Statistics
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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.
