Data Architect jobs in Israel

A leading insurance company is looking for a hands-on Team Lead to lead Data & AI team responsible for building advanced actuarial and data-driven systems. This is a unique opportunity to shape the technological direction of a team transitioning from legacy SQL Server environments into modern cloud-based architectures, with a strong focus on Databricks and data-driven business processes. What You’ll Do: Lead and manage a team of 6 developers and system analysts transitioning to cloud technologies. Define and drive the team’s technological vision, standards, and best practices. Architect and build end-to-end data-driven systems and business processes on cloud platforms (primarily Databricks). Design scalable cloud-based architectures (cloud-agnostic – not limited to Azure). Guide the migration from legacy SQL Server-based systems to modern cloud environments. Lead development of systems from scratch as well as integrations with external companies and third-party platforms. Work closely with business stakeholders (actuarial teams) to translate needs into technical solutions. Manage work plans, priorities, and delivery across multiple parallel projects. Lead cross-functional projects and manage collaborations with external vendors and international partners. Drive innovation, including implementation of AI-based solutions (e.g., AI Agentic, LLM-based workflows). Requirements: Must-Have 2+ years of experience leading a development team (or equivalent matrix leadership experience). Strong hands-on development experience in Python and SQL (complex queries) – will be assessed. Hands-on experience with Databricks. Proven experience designing system architecture and cloud-based data solutions. Experience building data-driven business processes in cloud environments (any cloud platform). Strong ability to define technological direction and lead teams through transformation. Experience working with external vendors and third parties. Strong collaboration skills – ability to translate business needs into scalable technical solutions. Experience managing multiple stakeholders and parallel projects. Significant Advantage Background in insurance, finance, or actuarial environments. Academic degree in Computer Science, Software Engineering, or Information Systems. Experience mentoring developers and leading teams through technological transitions (e.g., from on-prem to cloud).

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. www.allcloud.io 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. Required Skills & Screening: • Initiative and independence, strong leadership and teamwork capabilities. • Self-learning ability, high analytical skills. • Candidates must pass a computerized reliability test, a security interview, and a polygraph test. Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

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. www.allcloud.io 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. Required Skills & Screening: • Initiative and independence, strong leadership and teamwork capabilities. • Self-learning ability, high analytical skills. • Candidates must pass a computerized reliability test, a security interview, and a polygraph test. Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.