Data Architect – AWS, Azure

UBDS

. Design and deliver scalable data architectures across AWS and Azure environments .

Posted 11/10/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering scalable data architectures across AWS and Azure environments, with a strong focus on automated data pipelines, event-driven architectures, and data integration solutions. Proven ability to provide technical leadership and translate complex data requirements into practical solutions while ensuring security and compliance.

Highest-signal resume keywords

Data Architecture DesignAWS Services (EC2, EMR, S3, Lambda)Azure Data Storage (Blob Storage)Automated ETL/ELT Pipeline ImplementationInfrastructure as Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Apache SparkData IntegrationData Pipeline OrchestrationPerformance OptimisationParallel ProcessingEvent-Driven ArchitectureData Processing WorkflowsCloud Data ArchitectureData GovernanceData Quality

Soft Skills

Stakeholder EngagementCommunication Skills

Tools & Technologies

GitLabCI/CDDevOps PracticesAutomation ToolingSelf-Service ETL Frameworks

Certifications & Qualifications

Current SC Clearance

Industry Keywords

Fraud DetectionRisk AssessmentStreaming TechnologiesData LakeLakehouse ArchitecturePublic-Sector Data Solutions

Tech Stack

Tools & technologies

ApacheAWSAzureCloudCyber SecurityEC2ETLKafkaPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Design and deliver scalable data architectures across AWS and Azure environments
Define and implement automated data pipelines using cloud-native technologies and frameworks such as Apache Spark
Design data integration solutions connecting cloud platforms with on-premises data sources
Establish event-driven architectures for data processing, workflow orchestration and near-real-time data availability
Optimise data pipelines for performance, parallelisation, reliability and scalability
Design data processing capabilities supporting early identification of fraud risks and other analytical use cases
Develop scalable approaches and tooling for self-service ETL and onboarding new data assets
Define data access, storage, integration and processing patterns across multi-cloud environments
Provide architectural guidance across AWS and Azure services, including EC2, EMR, S3, Lambda and Azure Blob Storage
Work with Cloud and Infrastructure teams on networking, connectivity, security and access controls
Champion DevOps and software engineering best practices, including Infrastructure as Code, CI/CD and automated deployments
Support Terraform, GitLab and automation tooling across data platform delivery
Produce architecture documentation, technical designs and implementation guidance
Translate complex data requirements into practical solutions with technical and business stakeholders
Provide technical leadership and guidance to Data Engineers and wider delivery teams
Collaborate with Data, Cloud, Cyber Security and Engineering specialists to deliver secure, scalable and high-performing solutions

Requirements

What you’ll need

Strong experience as a Data Architect, Cloud Data Architect or Senior Data Engineer with architectural responsibilities
Proven hands-on experience designing and delivering data solutions across both AWS and Microsoft Azure
Strong understanding of cloud data architecture, data integration and distributed data processing
Experience designing and implementing automated ETL/ELT pipelines
Experience with Apache Spark or equivalent distributed data processing technologies
Experience designing event-driven architectures and data processing workflows
Strong understanding of data pipeline orchestration, performance optimisation and parallel processing
Experience integrating cloud-based platforms with on-premises data sources
Hands-on knowledge of AWS services such as EC2, EMR, S3 and Lambda
Experience with Azure data storage and processing services, including Azure Blob Storage
Good understanding of AWS and Azure networking, security and connectivity
Experience with Infrastructure as Code, particularly Terraform
Experience using GitLab and implementing CI/CD pipelines
Strong understanding of software engineering principles, automation and DevOps practices
Ability to translate business and technical requirements into scalable, secure and maintainable data architectures
Strong stakeholder engagement and communication skills
Current SC (Security Check) clearance required prior to commencing the role
Ability to maintain the required level of security clearance for the duration of the assignment
Desirable: experience with fraud detection, risk assessment or advanced analytics data platforms
Desirable: streaming technologies such as Kafka, AWS Kinesis or Azure Event Hubs
Desirable: serverless and event-driven data processing architectures
Desirable: data lake, lakehouse and modern data platform architectures
Desirable: self-service data ingestion and ETL frameworks
Desirable: Python, SQL or other data engineering languages
Desirable: data governance, lineage, metadata management and data quality
Desirable: large-scale or highly regulated data environments
Desirable: Government, Defence or wider public-sector data solutions

Benefits

Comp & perks

Training and personal development options, including technical, business acumen and methodologies
Mentorship and opportunities to gain certifications
Private medical cover for employee and spouse/partner via Vitality
Discretionary bonus based on personal and company performance
25 days holiday plus 1 birthday day and 1 work anniversary day, in addition to UK bank holidays
Electric Vehicle leasing with salary sacrifice
Contributed Pension Scheme
Death in service cover