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-timeMadrid • SpainSeniorWebsite

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 stakeholders.

Highest-signal resume keywords

AWS Solution DesignData ArchitectureCustomer-Facing Technical RolesData ProcessingETL Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSData ModelingData PipelinesBatch ProcessingStreaming DataLakehouse PatternsHLD WritingSOW WritingSecurity in AWSData Storage Optimization

Soft Skills

Clear CommunicationStakeholder EngagementProblem SolvingAdaptabilityLeadership

Tools & Technologies

S3GlueRedshiftKinesisEMRAthenaLambdaIAMKubernetesDocker

Certifications & Qualifications

AWS Solutions ArchitectAWS Data Analytics

Industry Keywords

Data EngineeringAnalytics PracticesCloud ArchitectureReal-Time Data ProcessingPre-Sales Engagements

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudDockerETLKubernetesTerraform

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
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay current with modern Data Engineering and Analytics practices and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment with occasional local travel for meetings and events and international travel 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
Nice to have: Experience with Iceberg, dbt, or similar modern data tooling
Nice to have: Familiarity with Kubernetes, Docker, Terraform, and CI/CD pipelines
Nice to have: AWS certifications (Solutions Architect, Data Analytics, or similar)