Data Architect
AllCloud, an AWS/Salesforce cloud consulting firm, is hiring a Data Architect in Ra'anana to lead the architectural design of an enterprise data warehouse on AWS. The role selects AWS data services (Redshift, Glue, Athena, EMR), designs large-scale data pipelines, mentors data engineers, and supports BI and GenAI initiatives.
- Compensation
- Not disclosed
- Location
- Ra'anana, Center District
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- B.Sc. in Computer Science, Engineering, Mathematics, or Statistics
- Several years of experience as a Data Architect with a strong Data Engineer background (Python, Spark)
- Deep expertise in AWS cloud environments and data services: Redshift, Glue, Athena, EMR/EMR Serverless, RDS
- Experience designing complex data pipelines using Airflow/Step Functions
- Experience with microservices architecture based on Docker, ECS, and Kubernetes
- Expertise in large-scale analytical data structures, partition optimization, and building Data Lakes/DWH with Parquet and Iceberg
- Experience integrating data solutions with BI tools (QuickSight, Tableau, PowerBI)
- Familiarity with Machine Learning platforms and designing architectures supporting GenAI/Prompt Engineering
- Initiative, independence, strong leadership and teamwork capabilities
- Self-learning ability and high analytical skills
- Pass a computerized reliability test, security interview, and polygraph test
Full description
About AllCloud
AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.
AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.
AllCloud serves clients across the globe with offices in EMEA and North America.
Job Summary
Architectural leadership of the enterprise DWH project in an AWS cloud environment. The role focuses on designing robust data infrastructure, establishing the technological roadmap, and enabling seamless large-scale data processing to support BI and AI initiatives.
Key Responsibilities:
- Lead the architectural design and implementation of the new enterprise DWH project.
- Design, develop, and optimize complex cloud-based data solutions for processing massive datasets.
- Select and implement the optimal AWS services (Redshift, Glue, Athena, EMR) and data formats (Parquet, Iceberg) for the core data stack.
- Provide technical leadership, mentorship, and professional guidance to the Data Engineering team.
- Collaborate closely with development teams, Data Scientists, and end-users to define requirements and deliver innovative Data and AI solutions.
Requirements
- B.Sc. in Computer Science, Engineering, Mathematics, or Statistics.
- Proven experience of several years as a Data Architect, with a strong background as a Data Engineer (focusing on Python and Spark).
- Deep expertise in planning and designing AWS cloud environments and utilizing data services: Redshift, Glue, Athena, EMR / EMR Serverless, and RDS.
- Proven experience in designing complex data pipelines using Airflow, and microservices architecture based on Docker, ECS, and Kubernetes.
- Expertise in large-scale analytical data structures, optimizing partitions, and building Data Lakes / DWH using Parquet and Iceberg.
- Experience integrating data solutions with leading BI tools (QuickSight, Tableau, PowerBI) for downstream analytics.
- Familiarity with Machine Learning platforms and experience designing architectures that support GenAI / Prompt Engineering solutions.
- Proven experience in designing complex data pipelines using Airflow / Step Functions, and microservices architecture based on Docker, ECS, and Kubernetes.