Senior Data Architect

Automat-it

. Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contributions to SOWs and HLDs .

Posted 11/10/2026full-timeTel Aviv • IsraelSeniorWebsite

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 DesignCustomer-Facing Technical RolesModern Data ArchitecturesCore AWS Data ServicesData Modeling and Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSData ArchitectureData ModelingETL ProcessesData PipelinesBatch ProcessingStreaming DataLakehouse PatternsHLDsSOWs

Soft Skills

Clear CommunicationStakeholder EngagementProblem-SolvingAdaptabilityCollaboration

Tools & Technologies

S3GlueRedshiftKinesisEMRAthenaLambdaIAMNetworkingCompute Patterns

Industry Keywords

Data EngineeringAnalytics PracticesCustomer EngagementSecurity and Access ControlPre-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, including Well-Architected reviews and contributions 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, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting 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 up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for 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