Cloud Data Architect

תאור משרה We are seeking an experienced and innovative Cloud Data Architect to design, implement, and manage cutting-edge cloud data solutions. The ideal candidate will have a strong background in cloud architecture, data modeling, and analytics, coupled with hands-on experience with modern cloud platforms. This role involves working closely with crossfunctional teams to define scalable data strategies and ensure seamless data integration across the organization     Key Responsibilities: Design and implement scalable, reliable, and secure cloud-based data solutions Develop and maintain cloud data architectures, including data pipelines, storage, and processing systems Collaborate with stakeholders to identify business requirements and translate them into technical solutions Lead data integration efforts, ensuring the seamless flow of data between systems Optimize cloud data solutions for cost, performance, and scalability Implement and enforce best practices for data security, governance, and compliance Evaluate and select appropriate cloud platforms and tools to meet business needs Mentor and guide teams on cloud data technologies, methodologies, and architectural principles Monitor and troubleshoot performance issues in cloud-based data systems Stay updated with emerging cloud data technologies and trends to recommend improvements and innovations     Qualifications: Bachelor's or master's degree in computer science, Information Systems, or a related field 5+ years of experience in data architecture, with at least 3 years focused on cloud platforms Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Strong knowledge of data modeling, ETL processes, and big data technologies (e.g., Spark, Hadoop) Hands-on experience with cloud-native databases and data warehouses (e.g., Amazon Redshift, Azure Synapse, Google BigQuery) Expertise in designing data pipelines using tools like Apache Kafka, Apache Airflow, or cloud-native services Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) Solid understanding of data governance, security, and compliance frameworks (e.g., GDPR, HIPAA) Proficiency in programming languages such as Python, Java, or Scala. Strong problem-solving and analytical skills, with the ability to handle complex technical challenges Excellent communication and collaboration skills