US English



7 Data & Analytics Solution Architect - Cloud Data Platforms CV Templates with Example

By Ria · Last Updated On 21 October 2026
CV example — page 1

This practical guide shows you how to create a Data & Analytics Solution Architect - Cloud Data Platforms CV. It helps you present your evidence clearly and build a focused document for this role.

A strong CV links client advice, solution design and delivery leadership to clear evidence. Show how you shape data strategy, plan cloud platform change, guide teams and support trusted analytics.

Compare the example in 7 layouts through PNG image previews, then open a version in the editor to customise it. The guide also explains how to organise experience, skills and certifications, and use relevant terms such as AWS, Microsoft Azure, Databricks, lakehouse architecture, data governance and data quality.

What Makes a Great Data & Analytics Solution Architect - Cloud Data Platforms CV in 2026

A strong CV makes architecture, client advisory and delivery work easy to scan. Use concise bullets to show your role in cloud data platforms, migration and analytics outcomes.

Include relevant terms such as AWS, Microsoft Azure, Databricks, data strategy, governance and data quality where they match your experience. Support claims with clear examples and figures you can verify.

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

Simple One Column Format keeps the CV in one vertical reading sequence, giving its sections a direct route through the page.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A single reading sequence helps reviewers follow career progression and experience from section to section.
  • Skills and achievements can be scanned in sequence alongside the work history.
  • Education and credentials remain part of the same vertical flow as experience.

Best For

  • Vertical reading preferences
  • Chronological career histories
  • CVs with several detailed sections
  • Experience alongside supporting credentials
  • Straightforward section navigation

CV Keywords

  • Design lakehouse architectures across AWS, Microsoft Azure and Databricks
  • cloud data platforms
  • Lakehouse architecture
  • data strategy
  • Delivered cloud transformation and data modernisation work for a portfolio of enterprise clients
  • Leads discovery-to-delivery client engagements
  • Advises senior client stakeholders on data strategy and transformation decisions
  • Stakeholder workshops
  • operating models
  • technical roadmaps
  • solution design
  • data governance
  • data quality
  • Maps legacy data landscapes, data flows and metadata with Data Engineers and Analysts, producing architecture records
  • Maps legacy data landscapes, data flows and metadata
See all keywords
 

#2 Simple Two Column Format CV Example

Simple Two Column Format arranges CV content in two parallel columns, giving sections distinct areas within one layout.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Parallel columns help reviewers locate experience, education and skills within the same CV structure.
  • Distinct content areas make it easier to return to a section during review.
  • The two-column organisation offers an alternative to a single vertical reading sequence.

Best For

  • Two-column reading preferences
  • CVs with varied section types
  • Quick access to supporting sections
  • Side-by-side content organisation
  • Detailed career histories

#3 Plain One Column with Shaded Labels CV Example

Plain One Column with Shaded Labels presents the CV in a single vertical column, keeping its sections in one reading sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Reviewers can follow career history in one continuous vertical sequence.
  • The single-column structure keeps education and credentials within the same overall reading path.
  • Skills and experience remain part of one ordered view of the CV.

Best For

  • Single-column reading preferences
  • Continuous career histories
  • CVs with multiple sections
  • Vertical review of experience
  • Simple section-by-section navigation
 

#4 One Column Format with Photo Right CV Example

One Column Format with Photo Right pairs a photo with a one-column CV body, keeping the written sections in a single reading sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A single column lets reviewers follow experience and career progression in sequence.
  • Education and skills remain within one vertical route through the CV content.
  • The photo accompanies the document while its written sections keep one reading order.

Best For

  • CVs where a photo is preferred
  • One-column reading preferences
  • Career histories read in sequence
  • Experience with supporting sections
  • A portrait alongside written content
 

#5 Clean Two Column Sidebar Format CV Example

Clean Two Column Sidebar Format organises the CV across two columns, separating its content into parallel areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Separate column areas help reviewers locate experience, education and other CV sections.
  • Parallel organisation offers a different route through skills and career history.
  • The two-column body gives varied content distinct places in the overall layout.

Best For

  • Parallel content areas
  • CVs with varied section types
  • Quick section reference
  • Detailed experience and credentials
  • Two-column reading preferences
 
 

#6 Two Column Format CV Example

Two Column Format uses parallel columns for CV content, offering a structured alternative to one continuous vertical sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The parallel layout helps reviewers find career history and supporting sections across the CV.
  • Separate columns give skills and education clear areas within the overall structure.
  • Reviewers can scan different sections without relying on one long vertical sequence.

Best For

  • Side-by-side section organisation
  • CVs with varied content
  • Readers who prefer parallel areas
  • Quick access to education and skills
  • Detailed career information
 

#7 Photo Header Two Column Format CV Example

Photo Header Two Column Format combines a photo with a two-column CV body, placing written content in parallel areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two columns give experience and supporting CV sections distinct areas in the layout.
  • Parallel sections help reviewers move between career history and other content.
  • The photo sits with a body organised across two columns.

Best For

  • CVs where a photo is preferred
  • Two-column reading preferences
  • Parallel section navigation
  • Career histories with supporting details
  • Portraits alongside varied CV content
 
 
 

Why Build Your Data & Analytics Solution Architect - Cloud Data Platforms CV with ResumeInMinutes

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

  • Clear CV layouts
  • Readable section structure
  • Space for role-specific keywords
  • Well-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 client needs, platform choices, migration planning and reliable analytics.

 

See Also

 

Frequently Asked Questions

Are these Data & Analytics Solution Architect - Cloud Data Platforms CV templates ATS-friendly?

The examples use clear headings and sections that can support scanning and ATS parsing. Include relevant terms naturally, such as cloud data platforms, lakehouse architecture, data governance, data quality and migration, when they match your experience.

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 a version in the editor to customise it.

What should a Data & Analytics Solution Architect - Cloud Data Platforms CV include?

Include a focused summary, relevant experience, skills, education and certifications. Show evidence of client discovery, solution architecture, cloud migration, stakeholder workshops, governance, testing and delivery coordination.

Which CV layout works well for this role?

Choose a layout with clear headings and a logical order for your summary, experience, skills and education. A simple structure helps readers find key details quickly and supports ATS review.

How can I show cloud data platform achievements on my CV?

Use concise bullet points to explain the challenge, your contribution and the result. Name platforms such as AWS, Microsoft Azure or Databricks only when you have used them, and include figures only when you can support them.

Should I include a photo on my CV?

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

ATS Score 95%

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: 24 of 26 (92%) · CV quality: 100%

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

Details
  • ✓Name present: Grace Matthews
  • ✓Email format: grace.matthews@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Data & Analytics Solution Architect
  • ✓Experience 1: Company name: Brackenridge Advisory
  • ✓Experience 1: Work location: Leeds, West Yorkshire
  • ✓Experience 1: Employment dates: May 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Senior Data Platform Consultant
  • ✓Experience 2: Company name: LatticeWorks Consulting
  • ✓Experience 2: Work location: Manchester, Greater Manchester
  • ✓Experience 2: Employment dates: Feb 2020 - Apr 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Data Architect
  • ✓Experience 3: Company name: Northstar Analytics
  • ✓Experience 3: Work location: Sheffield, South Yorkshire
  • ✓Experience 3: Employment dates: Aug 2018 - Jan 2020
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Junior Data Consultant
  • ✓Experience 4: Company name: Alderwick Systems
  • ✓Experience 4: Work location: Bradford, West Yorkshire
  • ✓Experience 4: Employment dates: Jan 2017 - Jul 2018
  • ✓Experience 4: 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
Grace Matthews
07700 90XXXX
grace.matthews@example.com
gracematthews
Leeds, West Yorkshire, LS6 2QH
SUMMARY
Data and Analytics Solution Architect with 9+ years of experience shaping cloud data platforms and analytics transformation for public sector and enterprise clients. Lead client engagements from discovery through delivery, translating business needs into data strategies, operating models and practical technical roadmaps. Design lakehouse architectures across AWS, Microsoft Azure and Databricks, guiding migration from legacy environments through testing and go-live. Work with senior stakeholders and multidisciplinary teams to clarify data landscapes, agree architectural decisions and coordinate delivery. Establish governance, metadata and data quality practices for trusted analytics and AI-ready foundations, and contribute to pre-sales and client solution design. Hold active UK Security Check (SC) clearance and current cloud and Databricks certifications.
EXPERIENCE
Data & Analytics Solution Architect
May 2023 - Present
Brackenridge Advisory
Leeds, West Yorkshire
Leads discovery-to-delivery client engagements, turning business priorities into cloud data platform options, target architectures and phased technical roadmaps.
Designed a Databricks lakehouse on Microsoft Azure for a multi-agency analytics programme, bringing structured and semi-structured data into a governed environment for reporting and advanced analytics.
Facilitates workshops with senior business and technical stakeholders to agree requirements, operating models, architectural trade-offs and cloud migration sequencing.
Maps legacy data landscapes, data flows and metadata with Data Engineers and Analysts, producing architecture records that inform migration dependencies and delivery estimates.
Established data governance, data quality controls and reusable design standards, helping teams assess lineage, ownership and fitness before analytics release.
Coordinates Architects, Product teams, Data Engineers and Analysts across parallel workstreams, aligning design decisions and delivery checkpoints with programme objectives.
Defines testing and validation approaches for analytical products and coordinates go-live readiness reviews, resolving data and integration issues before release.
Shapes pre-sales responses and client solution designs, explaining cloud, data platform and AI-ready foundation options in terms of client outcomes.
Advises senior client stakeholders on data strategy and transformation decisions, using documented platform options and delivery risks to support enterprise programmes.
Senior Data Platform Consultant
Feb 2020 - Apr 2023
LatticeWorks Consulting
Manchester, Greater Manchester
Delivered cloud transformation and data modernisation work for a portfolio of enterprise clients, contributing architecture and hands-on design across AWS and Microsoft Azure.
Developed an AWS lakehouse blueprint using Databricks, documenting ingestion, storage, processing and consumption patterns for analytics teams moving away from fragmented legacy systems.
Ran requirements sessions with business owners and technical specialists, converting discovery findings into platform designs, delivery plans and migration priorities.
Analysed data flows and metadata across operational systems, identifying dependencies that helped engineers plan migration waves and preserve reporting continuity.
Introduced practical data quality checks and governance guidance for shared datasets, improving consistency between source-system teams and analytics users.
Worked with Product teams, Analysts, Architects and Data Engineers to coordinate design reviews, testing evidence and release preparation across several concurrent workstreams.
Prepared cloud migration validation plans with client teams, reconciling legacy and target dataset samples before release to protect reporting continuity during platform change.
Data Architect
Aug 2018 - Jan 2020
Northstar Analytics
Sheffield, South Yorkshire
Produced solution designs for analytics platforms supporting financial and service-performance reporting, balancing user needs with integration and information-management constraints.
Documented source systems, data flows and key metadata for a platform consolidation project, giving delivery teams a clearer view of dependencies and data ownership.
Partnered with engineers and analysts to define data models, validation rules and reporting acceptance criteria before scheduled releases.
Supported migration testing by reconciling sample outputs with source records and recording defects for resolution ahead of business sign-off.
Junior Data Consultant
Jan 2017 - Jul 2018
Alderwick Systems
Bradford, West Yorkshire
Supported discovery and documentation for client data projects, capturing system inventories, stakeholder requirements and early solution considerations.
Built SQL-based data checks and documented findings for analysts, helping identify inconsistent records before they entered management reports.
Prepared diagrams of data flows and technical notes for architecture reviews, developing a sound foundation in data platforms and client delivery practices.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by a client programme team in 2025 for clear architecture guidance during a complex analytics release.
Mentored junior consultants on architecture documentation, workshop preparation and data quality practices.
EDUCATION
BSc Computer Science
2013
University of Bradford
Bradford, West Yorkshire
CERTIFICATIONS
AWS Certified Solutions Architect – Associate
2021
Microsoft Certified: Azure Solutions Architect Expert
2022
Databricks Certified Data Engineer Associate
2024
UK Security Check (SC) clearance, active
2025
TECHNICAL SKILLS
Cloud Platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform
Data Platforms: Databricks, Snowflake, Amazon Redshift
Programming Languages: Python, SQL, Scala
Data Processing: Apache Spark, Apache Kafka, Apache Flink
Storage and Lakehouse: Delta Lake, Amazon S3, Azure Data Lake Storage
Relational Databases: PostgreSQL, Microsoft SQL Server, Oracle Database
Data Integration: Azure Data Factory, AWS Glue, Apache Airflow
Business Intelligence: Power BI, Tableau, Qlik Sense
Data Modelling: dbt, ERwin Data Modeler, SAP PowerDesigner
DevOps and Infrastructure: Terraform, Docker, Kubernetes
SKILLS
Data strategy
Cloud transformation
Lakehouse architecture
Solution design
Client engagement
Stakeholder workshops
Operating models
Technical roadmaps
Data governance
Data quality
Metadata management
Data migration
Workstream coordination
Testing and validation
Pre-sales
PROFESSIONAL AFFILIATIONS
Member, British Computer Society, engaging with the professional community on computing and data practice.
Member, Data Management Association International, participating in a professional community focused on data management.

Matched keywords (24)

  • Design lakehouse architectures across AWS, Microsoft Azure and DatabricksOriginal keyword in JD: Data and analytics solution architecture
  • cloud data platforms
  • Lakehouse architecture
  • data strategy
  • Delivered cloud transformation and data modernisation work for a portfolio of enterprise clientsOriginal keyword in JD: Cloud migration and modernisation
  • Leads discovery-to-delivery client engagementsOriginal keyword in JD: Client engagement leadership from discovery through delivery
  • Advises senior client stakeholders on data strategy and transformation decisionsOriginal keyword in JD: Senior stakeholder advisory
  • Stakeholder workshops
  • operating models
  • technical roadmaps
  • solution design
  • data governance
  • data quality
  • Maps legacy data landscapes, data flows and metadata with Data Engineers and Analysts, producing architecture recordsOriginal keyword in JD: Data landscape documentation
  • Maps legacy data landscapes, data flows and metadataOriginal keyword in JD: Data flow mapping
  • Metadata management
  • Coordinates Architects, Product teams, Data Engineers and Analysts across parallel workstreamsOriginal keyword in JD: Multidisciplinary team collaboration
  • Workstream coordination
  • testing and validation
  • go-live readiness
  • pre-sales
  • public sector
  • Delivered cloud transformation and data modernisation work for a portfolio of enterprise clientsOriginal keyword in JD: Enterprise transformation
  • Security Check (SC) clearance

Missing keywords (2)

  • Client relationship development
  • Central government
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
 
> JP 1 1
PDF Footer and Margins Setup
The margins are applied to the document, and the footer appears in both the preview and the PDF

Footer Font Settings

Are you applying for a specific job
so we can tailor your CV to it?
Are you applying for a specific job
so we can tailor your cover letter to it?

Your data stays private and is never used for training.Privacy Policy

Type your details as text to generate a personalised CV Type your details as text to generate a personalised cover letter
Website link found! Ready to create CV from:

Your data stays private and is never used for training.Privacy Policy

Drag the into the box to verify you're human.
Drop here

My CVs

Showing {number_of_files} files (out of {total_of_all_files} total)
Name File Type Last Modified: Description:

Rename File

Filename already exists!

Delete Files

Warning: This action is irreversible. Once you click submit, the files will be permanently deleted.

Heading text
Upload From Computer Upload
Select From Existing
LinkedIn
Drag & Drop files anywhere in this tab, or

Uploaded Files

Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

My Files

CVs or cover letters you create will appear here. No files available yet.
Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Add LinkedIn Profile PDF

You can download your LinkedIn profile as a PDF by opening linkedin.com in a web browser, clicking your profile photo, selecting the “More” or “Resources” button, and choosing “Save to PDF.” You can then attach the PDF using the Upload From Computer tab.

Paste Your LinkedIn Profile Text

If you have copied the LinkedIn profile text, paste it below. See how to copy your profile from LinkedIn

Select this to use the LinkedIn profile text for generating your CV and covering letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Try these controls

<
>