Senior Data Architect – Insurance
Senior Data Architect – Insurance

Senior Data Architect – Insurance

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement cutting-edge data architectures for the insurance sector.
  • Company: Join a leading firm specialising in London Market and specialty insurance.
  • Benefits: Enjoy flexible working options and competitive perks.
  • Why this job: Be at the forefront of data innovation, impacting real-world insurance processes.
  • Qualifications: 8+ years in data architecture, with 3+ years in insurance required.
  • Other info: Experience with AWS, Databricks, and Snowflake is essential.

The predicted salary is between 43200 - 72000 £ per year.

We are seeking a highly experienced Senior Data Architect with deep domain expertise in insurance, particularly within the London Market and specialty insurance sectors. This role is pivotal in designing and implementing scalable, secure, and high-performance data architectures, including medallion architecture, across cloud platforms such as AWS, Databricks, and Snowflake.

Key Responsibilities:

  • Design and implement enterprise-grade data architectures, with a focus on medallion architecture (bronze, silver, gold layers).
  • Lead the development of data pipelines, data lakes, and data warehouses using AWS, Databricks, and Snowflake.
  • Collaborate with business stakeholders, data engineers, and analysts to translate business requirements into scalable data solutions.
  • Ensure data governance, security, and compliance across all data platforms.
  • Provide architectural guidance for integrating Salesforce, CRM systems, and Guidewire suite (PolicyCenter, BillingCenter, ClaimCenter).
  • Support data needs for underwriting, claims, and policy administration processes.
  • Drive best practices in data modeling, metadata management, and data quality assurance.

Required Skills & Experience:

  • 8+ years of experience in data architecture, with at least 3 years in the insurance industry.
  • Strong understanding of London Market and specialty insurance operations and data flows.
  • Proven experience with AWS (S3, Glue, Redshift, Lambda, etc.), Databricks, and Snowflake.
  • Expertise in building and optimizing medallion architecture.
  • Solid knowledge of data governance, security, and compliance frameworks.
  • Experience with ETL/ELT tools, data modeling, and data integration strategies.
  • Familiarity with Salesforce and CRM platforms.
  • Understanding of underwriting and claims processes.
  • Experience with Guidewire products is a strong plus.

Senior Data Architect – Insurance employer: PRACYVA

As a leading player in the insurance sector, our company offers an exceptional work environment for Senior Data Architects, particularly those with expertise in the London Market. We pride ourselves on fostering a collaborative culture that encourages innovation and professional growth, providing access to cutting-edge technologies like AWS, Databricks, and Snowflake. Employees benefit from comprehensive training programmes, competitive remuneration, and a commitment to work-life balance, making this an ideal place for those seeking meaningful and rewarding careers in data architecture.
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Contact Detail:

PRACYVA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Architect – Insurance

Tip Number 1

Network with professionals in the insurance and data architecture sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends and challenges in the London Market.

Tip Number 2

Showcase your expertise in medallion architecture by discussing relevant projects you've worked on. Be prepared to explain how you designed and implemented these architectures, particularly in relation to AWS, Databricks, and Snowflake.

Tip Number 3

Familiarise yourself with the specific data governance and compliance frameworks relevant to the insurance industry. Being able to discuss these frameworks confidently will demonstrate your understanding of the sector's unique requirements.

Tip Number 4

Prepare to discuss your experience with integrating systems like Salesforce and Guidewire. Highlight any specific challenges you faced and how you overcame them, as this will show your problem-solving skills and domain knowledge.

We think you need these skills to ace Senior Data Architect – Insurance

Data Architecture
Medallion Architecture
AWS (S3, Glue, Redshift, Lambda)
Databricks
Snowflake
Data Governance
Data Security
Compliance Frameworks
ETL/ELT Tools
Data Modelling
Data Integration Strategies
Salesforce Integration
CRM Systems Knowledge
Understanding of Underwriting Processes
Claims Management Expertise
Guidewire Products Familiarity

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data architecture, especially within the insurance sector. Emphasise your familiarity with AWS, Databricks, and Snowflake, as well as your understanding of medallion architecture.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your background aligns with the company's needs. Mention specific projects or experiences that demonstrate your expertise in the London Market and specialty insurance.

Showcase Relevant Projects: If applicable, include a section in your application that details relevant projects you've worked on. Highlight your contributions to data pipelines, data lakes, and data warehouses, particularly those that involved collaboration with business stakeholders.

Highlight Compliance Knowledge: Given the importance of data governance and compliance in this role, make sure to mention any experience you have with data security frameworks and compliance regulations in the insurance industry.

How to prepare for a job interview at PRACYVA

Showcase Your Domain Expertise

Make sure to highlight your experience in the insurance industry, especially within the London Market and specialty sectors. Be prepared to discuss specific projects where you've designed data architectures that cater to these areas.

Demonstrate Technical Proficiency

Familiarise yourself with AWS, Databricks, and Snowflake, as well as medallion architecture. Be ready to explain how you've used these technologies in past roles, particularly in building data pipelines and warehouses.

Emphasise Collaboration Skills

This role requires working closely with various stakeholders. Prepare examples of how you've successfully collaborated with data engineers, analysts, and business teams to translate requirements into effective data solutions.

Discuss Data Governance and Compliance

Given the importance of data security in the insurance sector, be ready to talk about your understanding of data governance frameworks and how you've ensured compliance in previous projects.

Senior Data Architect – Insurance
PRACYVA
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