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Data Architect GCP
Devoteam
Posted 6 months agoTunis, Tunisia
Location
Tunis, Tunisia
Job Type
Full-time
Experience
Mid-Level
Category
Technology
Job Description
Define and implement data architecture standards and guidelines
Troubleshoot and resolve data-related issues in a timely manner
This role requires flexibility in mobility, allowing individuals to work interchangeably between Tunis and Riyadh (Saudi Arabia).
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Responsibilities
- Bachelor or Master degree in Computer Science, Information Technology.
- Proven 10 years of experience as a data architect or in a similar role.
- Strong knowledge of database management systems, data modeling, and ETL processes.
- Familiarity with data governance, data security, and compliance requirements.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of big data technologies and platforms.
- Familiarity with data science and machine learning concepts.
- Certifications in relevant technologies ( TOGAF, etc ...).
- Good skills in english and arabic communication.
- Develop and implement a data strategy aligned with the organization business goals
- Collaborate with business stakeholders to understand data requirements and challenges
- Design and create data models for databases, data warehouses, and other data storage systems
- Ensure data models adhere to best practices for scalability, performance, and maintainability
- Work with database administrators and developers to implement the data architecture
- Develop strategies for data integration, including ETL (Extract, Transform, Load) processes
- Ensure data integration processes are efficient, accurate, and meet business requirements
- Establish and enforce data governance policies to ensure data quality and compliance
- Collaborate with security teams to implement data security and privacy measures
- Implement metadata management processes to track and document data lineage, definitions, and usage
- Work closely with cross-functional teams, including data scientists, analysts, and business users, to understand their data needs and provide solutions
- Monitor and optimize data architecture for performance and efficiency
