Cloud Data Architect

Cloud Data Architect
זיהוי דרישה: 3476
מיקום גאוגרפי: מרכז
חברה: ElbitSystems
עיר: תל אביב - יפו
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