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- Tasks: Design and implement data architectures using AWS, Snowflake, and Databricks.
- Company: Join N Consulting Ltd, a leader in innovative data solutions.
- Benefits: Enjoy hybrid work options and a dynamic team environment.
- Why this job: Make an impact in the insurance sector while enhancing your tech skills.
- Qualifications: 12+ years in data architecture with expertise in AWS and reporting tools.
- Other info: Ideal for those passionate about data governance and privacy regulations.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK (Hybrid)
Contract Duration: 6 months
Required Core Skills: Data Architect, with AWS (Aurora, S3, Lambda), Snowflake, Databricks, Reltio & reporting tools
Nice to have skills: Data governance & Data privacy regulations
Minimum years of experience: 12+ years
Job Description:
- Data Architecture Design: Develop and implement robust data architectures utilizing AWS services (Aurora, S3, Lambda), Snowflake, Databricks, and Reltio to support business objectives.
- Data Integration: Oversee data mapping, lineage, and migration processes. Design and manage ETL pipelines, ensuring seamless data flow across systems.
- Reporting Solutions: Collaborate with stakeholders to design and implement reporting solutions using tools like Power BI and Tableau, ensuring data accuracy and accessibility.
- API Management: Develop and manage APIs for efficient data integration between disparate systems, ensuring scalability and security.
- Data Governance: Establish and enforce data governance frameworks, ensuring compliance with data privacy regulations such as GDPR.
- Data Quality Assurance: Implement processes to maintain high data quality and accuracy throughout the data lifecycle.
- Insurance Domain Expertise: Apply knowledge of motor fleet insurance operations, including underwriting, claims, and policy management, to inform data architecture decisions.
- Regulatory Reporting: Ensure data architectures support reporting requirements for insurance carriers and regulatory bodies.
Required Skills and Experience:
- Experience: Minimum of 12 years in data architecture, with a focus on AWS services, Snowflake, Databricks, and Reltio.
- Technical Proficiency: Strong understanding of data modeling, ETL processes, data migration, and validation techniques.
- Reporting Tools: Proficiency in Power BI, Tableau, or similar platforms.
- API Integration: Experience in developing and managing APIs for data integration.
- Data Governance: Expertise in data governance frameworks and familiarity with data privacy regulations, including GDPR.
- Insurance Knowledge: Understanding of motor fleet insurance operations and regulatory reporting requirements is highly desirable.
Data Architecture Design(AWS services (Aurora, S3, Lambda), Snowflake, Databricks, and Reltio ) employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architecture Design(AWS services (Aurora, S3, Lambda), Snowflake, Databricks, and Reltio )
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience with AWS services and Snowflake. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your expertise in AWS services by contributing to open-source projects or writing articles on platforms like LinkedIn. This not only demonstrates your skills but also helps you build a personal brand in the data architecture community.
✨Tip Number 3
Familiarise yourself with the specific tools mentioned in the job description, such as Databricks and Reltio. Consider taking online courses or certifications to deepen your knowledge and make your application stand out.
✨Tip Number 4
Prepare for potential interviews by practising common data architecture scenarios and case studies. Be ready to discuss how you've implemented data governance frameworks and managed ETL processes in previous roles.
We think you need these skills to ace Data Architecture Design(AWS services (Aurora, S3, Lambda), Snowflake, Databricks, and Reltio )
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, Snowflake, Databricks, and Reltio. Use specific examples of projects where you've implemented data architectures or managed ETL processes.
Craft a Compelling Cover Letter: In your cover letter, emphasise your 12+ years of experience in data architecture. Discuss your familiarity with data governance and privacy regulations, and how your expertise aligns with the company's needs.
Showcase Relevant Projects: Include details about specific projects you've worked on that involved data integration, API management, or reporting solutions. Highlight any experience in the insurance domain, as this is a plus for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data architecture roles.
How to prepare for a job interview at N Consulting Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS services like Aurora, S3, and Lambda, as well as Snowflake and Databricks. Highlight specific projects where you implemented these technologies and the impact they had on the business.
✨Demonstrate Data Governance Knowledge
Since data governance and privacy regulations are important for this role, be ready to explain your understanding of frameworks like GDPR. Share examples of how you've ensured compliance in previous projects.
✨Discuss Your ETL Pipeline Experience
Talk about your experience designing and managing ETL pipelines. Be specific about the tools you used and the challenges you faced, as well as how you ensured seamless data flow across systems.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data architecture design. Think of examples from your past work where you had to make critical decisions regarding data integration or reporting solutions.
