Senior Data Architect

Automat-it

. Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers .

Posted 11/10/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering end-to-end data platforms on AWS, with a strong focus on modern data architectures and customer engagement. Proficient in leading technical discussions and translating complex ideas into actionable solutions while ensuring effective communication with diverse stakeholders.

Highest-signal resume keywords

AWS Solution DesignData Architecture ExpertiseCustomer-Facing Technical Role ExperienceReal-Time Data ProcessingHLD and SOW Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSData ModelingETL ProcessesData PipelinesBatch ProcessingStreaming DataLakehouse PatternsStorage OptimizationTechnical Trade-Off AnalysisSecurity and Access Control

Soft Skills

Clear CommunicationStakeholder EngagementLeadership in Technical DiscussionsAdaptability in Fast-Paced EnvironmentsProblem-Solving

Tools & Technologies

S3GlueRedshiftKinesisEMRAthenaLambdaIAMNetworkingCompute Patterns

Industry Keywords

Data EngineeringAnalytics PracticesCustomer EngagementTechnical ArchitecturePre-Sales Engagements

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETL

About the role

Key responsibilities & impact

Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers
Conduct Well-Architected reviews and contribute to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Support delivery teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects, and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Manage multiple customer engagements in a fast-paced, project-based environment
Stay current with modern Data Engineering and Analytics practices and contribute to internal enablement, patterns, and knowledge sharing
Travel occasionally for local meetings and events and internationally around once per quarter

Requirements

What you’ll need

3+ years of hands-on experience with AWS, including solution design, migration, and production systems
2+ years in customer-facing technical roles, for example Cloud Architect, SRE, or Customer Engineer, working directly with stakeholders
Solid understanding of modern data architectures, including batch, streaming, and lakehouse patterns
Practical experience with core AWS data services, such as S3, Glue, Redshift, Kinesis or MSK, EMR, Athena, Lambda, and IAM
Familiarity with broader AWS infrastructure, including networking, IAM, and compute patterns
Experience working with real-time or near real-time data processing
Strong grasp of data modeling, pipelines, and storage optimization
Ability to reason about trade-offs, not just select tools
Ability to lead end-to-end technical engagements, from discovery through delivery
Comfort operating in fast-moving environments with ambiguous requirements
Clear communication skills, able to explain technical decisions to both technical and non-technical stakeholders
Strong communication skills in English; Spanish is a plus
Basic understanding of security and access control in AWS environments
Experience writing HLDs, SOWs, and supporting pre-sales engagements
Experience with ETL processes, data lakes, and pipelines