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Senior Data Architect

Integress, Inc.·Israel·en
PresencialTiempo completoIngeniería de datosCloud ConsultingIT Consulting

Lead the architecture of an enterprise data warehouse in AWS, designing scalable data infrastructure and technology roadmaps for large-scale analytics, business intelligence, and AI solutions.

Responsabilidades

  • Lead the architectural design and implementation of an enterprise data warehouse in AWS.
  • Design, develop, and optimize cloud-based data solutions for massive datasets.
  • Select and implement AWS services and data formats for the core data stack.
  • Establish the technology roadmap for enterprise data infrastructure.
  • Provide technical leadership, mentoring, and guidance to the Data Engineering team.
  • Collaborate with developers, data scientists, and end users to define requirements and deliver data and AI solutions.

Requisitos

  • Bachelor’s degree in computer science, engineering, mathematics, statistics, or a related field.
  • Several years of experience as a Data Architect, supported by strong Data Engineering experience with Python and Spark.
  • Deep expertise designing AWS cloud environments with Redshift, Glue, Athena, EMR or EMR Serverless, and RDS.
  • Experience designing complex data pipelines with Airflow or Step Functions.
  • Experience with microservices architectures using Docker, ECS, and Kubernetes.
  • Expertise in large-scale analytical data structures, partition optimization, and data lake or data warehouse design using Parquet and Iceberg.
  • Ability to integrate data solutions with business intelligence platforms.
  • Strong analytical, leadership, teamwork, initiative, independence, and self-learning skills.
  • Successful completion of a computerized reliability test, security interview, and polygraph test.

Se valora

  • Experience with machine learning platforms
  • Experience designing architectures for generative AI and prompt engineering solutions
  • Experience with BI tools such as QuickSight, Tableau, or Power BI

Beneficios

  • Competitive salary
  • Bonus incentives
  • Benefits package
  • Flexible hours
  • Mentoring
  • Learning and personal development opportunities

Compatibilidad

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