Cloud Data Architect

שתף משרה זו

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