Cloud Data Architect

 
Job description: Bachelor's or Master's degree in Computer Science required.
·        Proven experience as a Cloud Data Architect, designing and implementing large-scale data solutions on cloud platforms.
·        Expertise in cloud technologies such as DataBricks on Azure or AWS.
·        Strong proficiency in data modeling, ETL processes, and data warehousing concepts.
·        Experience with big data technologies (e.g., Hadoop, Spark) is required.
·        Excellent programming skills in languages such as Python, Java, or Scala.
·        Familiarity with data visualization tools and techniques.
·        Strong problem-solving abilities and attention to detail.
·        Excellent communication and interpersonal skills.
·        Relevant certifications in cloud platforms and data technologies are a plus.

Job Description: 
A highly skilled and experienced Senior Cloud Data Architect to lead the design, development, and deployment of scalable and secure cloud-based data solutions. The ideal candidate will have extensive experience in cloud platforms, data architecture, and analytics, along with excellent problem-solving skills and a strong background in designing and implementing robust data systems.
As a member of the EDA architecture team, the cloud data architect has the following responsibilities:
Cloud Data Architecture: Design, develop, and implement scalable and secure cloud-based data architecture solutions on platforms such as Azure and AWS using distributed computing skills on DataBricks.
Data Modeling: Create and maintain data models, schemas, and structures to ensure efficient storage, retrieval, and analysis of data.
ELT Processes: Develop robust ELT (Extract, Load, Transform) processes to integrate data from various sources into the DPaaS multi-cloud data platform.