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- Tasks: Design and implement scalable data solutions for a strategic insurance project.
- Company: Leading insurance firm with a focus on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data in the insurance industry.
- Qualifications: Expertise in Azure services, data modeling, and strong SQL & Python skills.
- Other info: Exciting projects with potential for career advancement in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a seasoned Data Architect to lead the design and implementation of scalable data solutions for a strategic insurance project. The ideal candidate will have deep expertise in Azure cloud services, Azure Data Factory, and Databricks with a strong understanding of data modeling, data integration, and analytics in the insurance domain.
Key Responsibilities
- Architect and design end-to-end data solutions on Azure for insurance-related data workflows.
- Lead data ingestion, transformation, and orchestration using ADF and Databricks.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality governance and security compliance across the data lifecycle.
- Optimize performance and cost efficiency of data pipelines and storage.
- Provide technical leadership and mentoring to data engineers and developers.
Mandatory Skillset
- Azure Cloud Services – Strong experience with Azure Data Lake, Azure Synapse, Azure SQL, and Azure Storage.
- Azure Data Factory – Expertise in building and managing complex data pipelines.
- Databricks – Hands-on experience with Spark-based data processing, notebooks, and ML workflows.
- Data Modeling – Proficiency in conceptual, logical, and physical data modeling.
- SQL & Python – Advanced skills for data manipulation and transformation.
- Insurance Domain Knowledge – Understanding of insurance data structures, claims, policy underwriting, and regulatory requirements.
Preferred Skillset
- Power BI – Experience in building dashboards and visualizations.
- Data Governance Tools – Familiarity with tools like Purview or Collibra.
- Machine Learning – Exposure to ML model deployment and monitoring in Databricks.
- CICD – Knowledge of DevOps practices for data pipelines.
Certifications
- Azure Data Engineer or Azure Solutions Architect certifications.
Location: London, England, United Kingdom.
Data Architect employer: TESTQ Technologies
Contact Detail:
TESTQ Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data sectors. Attend meetups or webinars related to Azure and data architecture. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Be ready to discuss how you've tackled data integration challenges or optimised data pipelines in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with Azure and the insurance domain to catch our eye.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure cloud services, ADF, and Databricks. We want to see how your skills align with our needs, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of your past projects in the insurance domain and how you’ve tackled data challenges.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in SQL, Python, and data modeling. We love seeing practical examples of how you’ve used these skills in real-world scenarios, especially in the insurance sector.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at TESTQ Technologies
✨Know Your Azure Inside Out
Make sure you brush up on your Azure cloud services knowledge, especially Azure Data Factory and Databricks. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling in the insurance domain. Have examples ready that demonstrate your proficiency in conceptual, logical, and physical data models, and how they contributed to successful data solutions.
✨Understand the Business Side
Since collaboration with business stakeholders is key, be prepared to discuss how you've translated business requirements into technical solutions. Think of instances where your understanding of insurance data structures made a difference in your projects.
✨Highlight Your Leadership Experience
As a Data Architect, you'll need to provide technical leadership. Share examples of how you've mentored data engineers or led teams in previous roles. This will show your ability to guide others while ensuring data quality and compliance.