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CodeValue

Data Architect

CodeValue

. Design and develop scalable data architectures .

Posted 11/9/2026full-timeHerzliya • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and implementing scalable data architectures and pipelines, with a strong focus on data warehousing, ETL processes, and cloud services such as Azure. Proficient in utilizing various data technologies to ensure efficient and reliable data solutions.

Highest-signal resume keywords
Data Architecture DesignBig Data Pipeline DevelopmentAzure Data ServicesETL ProcessesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ArchitectureBig DataETLSQLData IntegrationKafkaSparkRedshiftElasticsearchCloud Networking
Tools & Technologies
AzureGCPAWSCloud Database ServicesData Platforms
Industry Keywords
Data SolutionsData PipelinesManaged Data ServicesData TechnologiesCloud Services

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCloudElasticSearchETLGoogle Cloud PlatformKafkaSparkSQL

About the role

Key responsibilities & impact
  • Design and develop scalable data architectures
  • Design and implement large-scale data pipelines
  • Work with managed data services and data pipelines in Azure
  • Design and implement data warehouse solutions, ETL processes, and data integration architectures
  • Work with a variety of data platforms, cloud database services, and data technologies
  • Ensure efficient, reliable, and scalable data solutions

Requirements

What you’ll need
  • At least 3 years of experience in data architecture and architecture design
  • Proven experience designing and building Big Data pipelines
  • Hands-on experience with managed data services and data pipelines in Azure
  • Experience with Data Warehousing, ETL processes, and data integration
  • Knowledge of various Data Warehouse technologies
  • Strong understanding of data technologies and services such as Kafka, Spark, Redshift, Elasticsearch, and others
  • Good understanding of SQL
  • Good understanding of cloud database services and cloud networking
  • Familiarity with various cloud services and architectures
  • Experience working with GCP and/or AWS is an advantage

Benefits

Comp & perks
  • Full-time employment