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7 Data Solution Architect - Reinsurance CV Templates with Example

By Ria · Last Updated On 21 October 2026
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This guide shows you how to create a clear, focused Data Solution Architect - Reinsurance CV. It helps you present your architecture decisions and delivery evidence so readers can quickly see how your experience fits the role.

For this role, connect ceded reinsurance needs with practical data architecture, integration and migration work. Show how you shape designs across discovery and implementation, and use evidence from Azure, Databricks, CenataSure, Subscribe, data modelling and stakeholder work where relevant.

Compare PNG image previews of the example presented in 7 layouts, then open a preferred version in the editor to customise it. The guidance also covers ATS-readable structure, strong achievement bullets and relevant terms for premiums, claims, recoveries and treaty arrangements.

What Makes a Great Data Solution Architect - Reinsurance CV in 2026

A strong CV makes architecture, integration and reinsurance experience easy to scan. Focus each bullet on the work you led, the decisions you made and the result.

Use relevant terms such as ceded reinsurance, Azure, Databricks, CenataSure, Subscribe, data modelling and migration. Add figures only when you can support them.

Note: CV examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organisations do not imply affiliation or endorsement.

#1 Simple One Column Format CV Example

The single-column layout keeps the CV’s sections in one reading sequence, making career progression straightforward to follow.

 
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Why This Format Works

  • A continuous section sequence helps reviewers follow experience across roles and dates.
  • Consistent reading order keeps education and credentials easy to locate.
  • Full-width content gives detailed experience entries room to remain legible.

Best For

  • Chronological career records
  • Detailed role histories
  • Straightforward document parsing
  • Education and credentials alongside experience
  • Text-led CV presentation

CV Keywords

  • Data Solution Architect
  • Azure
  • Databricks
  • data architecture
  • Solution architecture
  • Data Integration
  • data modelling
  • Built Azure and Databricks patterns for ingesting and transforming policy and claims data
  • Defined Azure and Databricks data flows, integration patterns and migration controls across a multi platform environment
  • Led architecture and integration design for a CenataSure implementation, connecting the platform with Subscribe, Azure data services and established underwriting and finance systems.
  • reinsurance
  • ceded
  • discovery and solution design
  • taking discovery findings on premiums, claims, recoveries and treaty arrangements into prioritised solution designs for delivery teams.
  • Data migration
See all keywords
 

#2 Simple Two Column Format CV Example

The two-column body gives career history and supporting sections separate areas, helping reviewers locate relevant information.

 
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Why This Format Works

  • Two content columns distinguish career history from supporting CV sections.
  • Separate section areas help reviewers find education, skills and credentials.
  • An organised reading order keeps the work history easy to follow.

Best For

  • Career history with supporting sections
  • Compact skills and education details
  • Several roles in sequence
  • CVs with substantial technical detail
  • Readers comparing qualifications and experience

#3 Plain One Column with Shaded Labels CV Example

The one-column structure presents sections in a direct sequence, giving reviewers a clear path through the career record.

 
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Why This Format Works

  • A linear page structure lets reviewers trace role history without switching columns.
  • Section breaks keep education and credentials distinct within the career record.
  • Uninterrupted text flow suits detailed role entries and measurable achievements.

Best For

  • Sequential career progression
  • Role histories with detailed entries
  • Single-path reading preference
  • Education and credentials in a long record
  • Simple section-by-section review
 

#4 One Column Format with Photo Right CV Example

A one-column body paired with a photo on the right suits readers who prefer a portrait alongside a clear section sequence.

 
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Why This Format Works

  • A single reading path helps reviewers compare responsibilities and achievements across roles.
  • Clear section sequence makes education and certifications easier to locate.
  • One-column text keeps detailed architecture work together without splitting the reading path.

Best For

  • Portrait-led CV presentation
  • Sequential role histories
  • Detailed experience entries
  • Qualifications within a clear section sequence
  • CVs where a portrait is requested
 

#5 Clean Two Column Sidebar Format CV Example

The two-column body places CV content in distinct areas, giving reviewers a compact way to move between career history and supporting details.

 
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Why This Format Works

  • Side-by-side content areas separate role history from supporting CV information.
  • Distinct section spaces help reviewers locate skills, education and credentials.
  • Two-column reading order can keep a substantial career record easy to scan.

Best For

  • Career history with supporting details
  • Skills and credentials beside experience
  • Compact section organisation
  • Substantial work histories
  • Quick comparison of qualifications
 
 

#6 Two Column Format CV Example

The two-column body groups CV sections into separate areas, offering a clear way to review a detailed career record.

 
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Why This Format Works

  • Two columns group career evidence and other CV sections into separate areas.
  • Section separation helps reviewers move between work history and qualifications.
  • Defined reading paths make a detailed record easier to scan selectively.

Best For

  • Detailed career records
  • Work history beside supporting sections
  • Selective review of qualifications
  • Multiple professional roles
  • CVs with varied section content
 

#7 Photo Header Two Column Format CV Example

A photo in the header sits above a two-column body, combining portrait presentation with separate areas for CV sections.

 
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Why This Format Works

  • The two-column body separates career history from other CV sections.
  • Distinct content areas help reviewers locate education and professional credentials.
  • Section order supports a quick review of a long career record.

Best For

  • Portrait in the CV header
  • Career history with supporting sections
  • Education and credentials in a detailed record
  • Two-column content organisation
  • CVs where a photo is requested
 
 
 

Why Build Your Data Solution Architect - Reinsurance CV with ResumeInMinutes

ResumeInMinutes helps you organise your reinsurance architecture experience, skills and qualifications in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

  • Distinct CV layouts
  • Clear section order
  • Space for role-specific keywords
  • Organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose a format that makes your architecture decisions and delivery evidence easy to follow. Keep the focus on reinsurance data, platform integration, migration and measurable outcomes.

 

See Also

 

Frequently Asked Questions

Are these Data Solution Architect - Reinsurance CV templates ATS-friendly?

The examples use clear headings and sections to support scanning. Include relevant terms naturally, such as ceded reinsurance, Azure, Databricks, CenataSure, Subscribe, data integration and data modelling.

Are these separate CV examples or different layouts of one example?

This page shows one role-focused CV example in different layouts. Compare the PNG image previews, then open an example in the editor to customise it.

What should a Data Solution Architect - Reinsurance CV include?

Include a focused summary, relevant experience, skills, education and certifications. Show evidence of data architecture, reinsurance processes, integration design, migration and work with stakeholders or technology vendors.

Which CV layout works well for this role?

Choose a layout with clear headings and an easy-to-follow order for experience, skills and education. A simple structure helps recruiters and applicant tracking systems find key details.

How can I show architecture achievements on my CV?

Use concise bullet points to explain the challenge, your contribution and the outcome. For example, describe how you connected systems, set migration controls or improved traceability, and include supported figures where available.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant experience, skills and measurable results instead.

ATS score and CV checks

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ATS Score 98%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your CV is used. This is not a match to a specific vacancy.
  • Text-based CV: 20%. The text CV assessed here receives 100 for this part.
  • CV quality: 20%. We start at 100 and subtract points for issues found by our CV checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based CV 20% · CV quality 20%

Keyword coverage: 28 of 29 (97%) · CV quality: 100%

CV quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Fatima McKenzie
  • ✓Email format: fatima.mckenzie@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Lead Data Solution Architect
  • ✓Experience 1: Company name: Harbourside Mutual
  • ✓Experience 1: Work location: Bristol, UK
  • ✓Experience 1: Employment dates: Feb 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Data Architect
  • ✓Experience 2: Company name: Meridian Specialty Insurance
  • ✓Experience 2: Work location: London, UK
  • ✓Experience 2: Employment dates: Jun 2020 - Jan 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Senior Data Architect
  • ✓Experience 3: Company name: Kestrel Consulting
  • ✓Experience 3: Work location: London, UK
  • ✓Experience 3: Employment dates: May 2017 - May 2020
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Data Integration Architect
  • ✓Experience 4: Company name: Bracken Insurance Services
  • ✓Experience 4: Work location: Manchester, UK
  • ✓Experience 4: Employment dates: Oct 2015 - Apr 2017
  • ✓Experience 4: Description or achievements: Present
  • ✓Experience 5: Job title: Data Analyst
  • ✓Experience 5: Company name: Northstar Analytics
  • ✓Experience 5: Work location: Leeds, UK
  • ✓Experience 5: Employment dates: Oct 2013 - Sep 2015
  • ✓Experience 5: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based CV 100% · Weight 20%

Parsed text
Fatima McKenzie
07700 90XXXX
fatima.mckenzie@example.com
fatimamckenzie
Bristol, BS1 4DJ
SUMMARY
Data Solution Architect with 13 years of experience delivering enterprise data transformation across insurance and reinsurance. Shape architecture from discovery through implementation, with expertise in ceded reinsurance, Azure, Databricks, data modelling and integration. Recent delivery includes CenataSure and Subscribe integration with established data platforms and business systems. Translate requirements for premiums, claims, recoveries and treaty arrangements into practical designs, collaborating with business analysts, architecture leaders and technology vendors to align solutions with enterprise standards. Build productive stakeholder relationships that help resolve complex integration decisions and maintain clear delivery priorities. Bring experience across large scale insurance implementations, alongside considered evaluation of AI and automation for document and data processing.
EXPERIENCE
Lead Data Solution Architect
Feb 2023 - Present
Harbourside Mutual
Bristol, UK
Shaped the data architecture for a ceded reinsurance transformation, taking discovery findings on premiums, claims, recoveries and treaty arrangements into prioritised solution designs for delivery teams.
Led architecture and integration design for a CenataSure implementation, connecting the platform with Subscribe, Azure data services and established underwriting and finance systems.
Defined Azure and Databricks data flows, integration patterns and migration controls across a multi platform environment, giving engineering teams consistent designs for batch and near real time data movement.
Worked with business analysts, senior architecture colleagues and external technology vendors to resolve interface decisions, clarify requirements and align designs with enterprise architecture standards and strategic objectives.
Introduced data modelling and reconciliation checks for transformed reinsurance records, improving traceability between source systems and ceded reporting outputs.
In 2025, assessed AI enabled workflow and automation options for document and data processing, documenting governance considerations and a controlled evaluation approach before any wider adoption.
Data Architect
Jun 2020 - Jan 2023
Meridian Specialty Insurance
London, UK
Designed target data architecture for a large scale insurance platform implementation, translating underwriting, claims and reinsurance needs into data models and integration specifications.
Built Azure and Databricks patterns for ingesting and transforming policy and claims data, supporting scalable analytics while preserving lineage and operational controls.
Coordinated discovery and solution design with business analysts, delivery leads and external technology vendors, resolving dependencies across policy administration, finance and reporting platforms.
Set out migration mappings and validation rules for a staged platform transition, enabling business teams to reconcile premiums and claims before cutover.
Presented architecture options and delivery trade offs to stakeholders, securing agreement on reusable integration approaches and alignment with enterprise standards.
Senior Data Architect
May 2017 - May 2020
Kestrel Consulting
London, UK
Delivered data architecture for insurance transformation clients, covering source system assessment, conceptual and logical data modelling, integration design and implementation planning.
Designed Azure based data solutions and repeatable data flows for clients consolidating underwriting and claims information from multiple platforms.
Mapped ceded reinsurance processes and treaty data with client specialists, linking premium, claim and recovery records to reporting and reconciliation requirements.
Managed technical workshops with client stakeholders and software vendors, converting complex business requirements into interface specifications and sequenced delivery plans.
Reviewed implementation designs against client enterprise architecture standards and documented decisions, risks and dependencies for governance forums.
Data Integration Architect
Oct 2015 - Apr 2017
Bracken Insurance Services
Manchester, UK
Developed integration specifications for policy, claims and finance systems, clarifying data ownership and hand offs across a growing insurance platform estate.
Created canonical data models and mapping rules for premium and claims feeds, helping operational teams reconcile records between source applications and reporting stores.
Planned migration and transformation activities with delivery teams, using profiling and exception reports to identify data quality issues before release.
Documented interface controls and supported vendor testing, enabling business users to verify end to end data flows ahead of implementation milestones.
Data Analyst
Oct 2013 - Sep 2015
Northstar Analytics
Leeds, UK
Analysed insurance premium and claims datasets for reporting projects, using SQL based checks to identify inconsistent records and provide clear findings to senior analysts.
Produced source to target mappings and data dictionaries for system integration work, improving shared understanding of business definitions and reporting inputs.
Prepared test cases and reconciled migration extracts against source totals, recording exceptions for investigation by operational and technical colleagues.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by the Harbourside Mutual transformation sponsor in 2025 for clear architecture decision records and effective vendor engagement during discovery.
Mentored two data architects through design reviews and facilitated internal sessions on reinsurance data modelling and integration patterns.
EDUCATION
BSc (Hons) Information Systems
2012
University of Leeds
Leeds, UK
CERTIFICATIONS
Microsoft Certified: Azure Solutions Architect Expert
2022
Databricks Certified Data Engineer Associate
2024
TECHNICAL SKILLS
Cloud Platforms: Microsoft Azure, Azure Data Lake Storage, Azure Synapse Analytics
Data Engineering: Databricks, Apache Spark, Delta Lake
Programming Languages: SQL, Python, Scala
Databases: Microsoft SQL Server, PostgreSQL, Oracle Database
Data Integration: Azure Data Factory, Apache Kafka, Talend Data Integration
Data Modelling: ERwin Data Modeler, SAP PowerDesigner, dbt
Business Intelligence: Microsoft Power BI, Tableau, Qlik Sense
Version Control: Git, GitHub, Azure Repos
Development Environments: Visual Studio Code, Azure Databricks notebooks, Jupyter Notebook
Data Formats: Apache Parquet, JSON, XML
Insurance Platforms: CenataSure, Subscribe, Guidewire InsuranceSuite
SKILLS
Data architecture
Solution architecture
Data integration
Data modelling
Reinsurance data
Ceded reinsurance
Azure
Databricks
CenataSure
Subscribe
Data migration
Data transformation
Enterprise architecture
Vendor engagement
AI evaluation
PROFESSIONAL AFFILIATIONS
Member, British Computer Society, engaging with the professional community on information systems and data architecture.
Member, Data Management Association International, participating in its professional community for data management practice.
LANGUAGES
English (Native)
French (Intermediate)

Matched keywords (28)

  • Data Solution ArchitectOriginal keyword in JD: Data Solution Architect OR Data Architect
  • Azure
  • Databricks
  • data architecture
  • Solution architecture
  • Data Integration
  • data modelling
  • Built Azure and Databricks patterns for ingesting and transforming policy and claims dataOriginal keyword in JD: Complex data transformation programmes
  • Defined Azure and Databricks data flows, integration patterns and migration controls across a multi platform environmentOriginal keyword in JD: Multi-platform architecture
  • Led architecture and integration design for a CenataSure implementation, connecting the platform with Subscribe, Azure data services and established underwriting and finance systems.Original keyword in JD: Complex system integrations
  • reinsurance
  • cededOriginal keyword in JD: Ceded OR outwards reinsurance
  • discovery and solution design
  • taking discovery findings on premiums, claims, recoveries and treaty arrangements into prioritised solution designs for delivery teams.Original keyword in JD: Technical design
  • Data migration
  • data transformation
  • integration patterns
  • data flows
  • Build productive stakeholder relationships that help resolve complex integration decisions and maintain clear delivery priorities.Original keyword in JD: Stakeholder management
  • Worked with business analysts, senior architecture colleagues and external technology vendors to resolve interface decisions, clarify requirements and align designs with enterprise architecture standards and strategic objectives.Original keyword in JD: External technology vendor engagement
  • enterprise architecture standards
  • align designs with enterprise architecture standards and strategic objectives.Original keyword in JD: Strategic alignment
  • CenataSureOriginal keyword in JD: CenataSure OR comparable reinsurance platform
  • Subscribe integration
  • Translate requirements for premiums, claims, recoveries and treaty arrangements into practical designsOriginal keyword in JD: Reinsurance premiums, claims, recoveries and treaty arrangements
  • large scale insurance platform implementationOriginal keyword in JD: Large-scale insurance platform implementations
  • AI and automation
  • assessed AI enabled workflow and automation options for document and data processing, documenting governance considerations and a controlled evaluation approach before any wider adoption.Original keyword in JD: Emerging data technologies

Missing keywords (1)

  • Lloyd's/London Market
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

CV and cover letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organisation.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that CV or cover letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on CV formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
 
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