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- Tasks: Design and implement scalable data architectures using Snowflake for impactful business insights.
- Company: Reputable Data & AI services firm based in London with a hybrid work culture.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Why this job: Lead innovative data projects that shape strategic decisions in the insurance industry.
- Qualifications: 15+ years of experience in data architecture and strong communication skills.
- Other info: Join a dynamic team with a focus on mentorship and collaboration.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK
Is it Permanent / Contract: Perm
Is it Onsite/Remote/Hybrid: Hybrid
Start Date: 1st Week of January
Roles & Responsibilities
- Possess 15 plus years of work experience at a reputable Data & AI services firm.
- Outstanding written and verbal communication skills, with a flair for compelling storytelling.
- Analyse complex insurance data to identify trends, patterns, and insights that support strategic business decisions.
- Design and implement an enterprise-grade Data Vault 2.0 architecture on Snowflake, ensuring scalability, flexibility, and auditability.
- Lead the end-to-end data architecture design, from data ingestion through transformation to reporting layers.
- Collaborate with business stakeholders to understand insurance-specific data requirements (e.g., policy, claims, underwriting, premiums, risk, reinsurance).
- Define data modelling standards, naming conventions, and governance frameworks aligned with industry best practices.
- Work with data engineering teams to implement dbt-based data pipelines for data transformation and lineage tracking.
- Ensure efficient data integration and performance optimization across Snowflake and downstream systems.
- Partner with BI developers to enable Power BI reporting and semantic modelling using curated data layers.
- Oversee data quality, validation, and reconciliation processes to ensure accurate and reliable reporting.
- Provide technical leadership and mentorship to engineering and analytics teams on Data Vault and Snowflake architecture.
Data Architect in Slough employer: Ampstek
Contact Detail:
Ampstek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architecture and Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to discuss how you've tackled complex data challenges in the past, particularly in the insurance sector. We want to hear your success stories!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Architect in Slough
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 15+ years of experience in the data and AI field. We want to see how you've tackled complex data challenges and what you've achieved in your previous roles.
Communicate Clearly: Since outstanding communication skills are key, use your application to tell a compelling story about your career. Keep it clear and engaging, so we can easily understand your journey and expertise.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Architect role. Show us how your skills align with our needs, especially around Snowflake and Data Vault 2.0.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Ampstek
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with data pipelines. Be ready to discuss your past experiences with Snowflake and how you've implemented Data Vault 2.0 architecture.
✨Showcase Your Storytelling Skills
Since communication is key for this role, prepare to share compelling stories about your previous projects. Think of specific examples where your analysis of complex data led to strategic decisions. This will demonstrate not only your technical skills but also your ability to convey insights effectively.
✨Understand the Insurance Landscape
Familiarise yourself with the insurance industry, especially the specific data requirements mentioned in the job description. Being able to speak knowledgeably about policies, claims, and underwriting will show that you can collaborate effectively with business stakeholders.
✨Prepare for Technical Questions
Expect to face technical questions related to data architecture design and data modelling standards. Brush up on best practices and be ready to discuss how you've ensured data quality and performance optimisation in your previous roles. This will help you stand out as a knowledgeable candidate.
