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Senior Data Architect
·Israel
HybridFull-timeData EngineeringIT ServicesIT Consulting
Design and deliver production-grade data platforms on AWS, from discovery to production, working directly with startup CTOs and engineering teams in a hybrid role based in Tel Aviv.
Responsibilities
- Design and deliver end-to-end data platforms on AWS covering ingestion, storage, processing, and serving layers.
- Work directly with startup customers to understand requirements and shape practical solutions.
- Lead technical discussions, workshops, architecture reviews, and proofs of concept.
- Translate ideas into clear architectures including HLDs, SOWs, 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.
- Contribute to internal standards, reusable patterns, and reference architectures.
- Stay up to date with modern data engineering and analytics practices.
Requirements
- 3+ years of hands-on AWS experience including solution design, migration, and production systems.
- 2+ years in customer-facing technical roles 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 with real-time or near real-time data processing.
- Strong grasp of data modeling, pipelines, and storage optimization.
- Ability to lead end-to-end technical engagements from discovery through delivery.
- Clear communication skills in English; Spanish is a plus.
- Basic understanding of security and access control in AWS.
- 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.
- Familiarity with Kubernetes, Docker, Terraform, and CI/CD pipelines.
- AWS certifications (Solutions Architect, Data Analytics, or similar).