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Job Description
- Lead the design and implementation of robust, scalable, and secure data architectures.
- Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.
- Define and enforce data architecture standards, best practices, and governance policies.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Oversee data integration efforts, including ETL/ELT processes, data pipelines, and data warehousing.
- Optimize data storage and retrieval methods for performance, scalability, and cost-effectiveness.
- Evaluate and select appropriate technologies and platforms to support current and future data needs.
- Conduct regular audits and reviews to ensure data integrity, security, and compliance.
- Mentor and guide junior team members in data architecture principles and methodologies.
- Stay updated on emerging data technologies and trends, driving innovation within the organization.
Personal Skills
- Data Architecture and Modeling: In-depth knowledge of data modeling (conceptual, logical, physical), and experience defining scalable and efficient architectures.
- Database Technologies: Strong expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra).
- Big Data and Cloud Platforms: Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
- ETL/ELT and Data Integration: Proficiency in ETL/ELT tools and techniques for integrating, transforming, and migrating data across environments.
- Data Governance and Security: Understanding of data governance frameworks, data quality principles, privacy regulations (GDPR, CCPA), and best practices for securing data.
- Performance Optimization: Skills in tuning data systems, improving query performance, and designing data structures that scale.
- Enterprise Architecture Alignment: Ability to align data architectures with broader enterprise architecture goals and business strategies.
- Analytical and Problem-Solving: Strong analytical skills for diagnosing architectural issues, evaluating solutions, and implementing improvements.
- Communication and Collaboration: Excellent communication abilities to work with cross-functional teams, gather requirements, and present complex architectures to stakeholders.
- Continuous Learning: Commitment to staying updated with emerging data technologies, industry trends, and architectural best practices.
Technical Skills
Data Modeling: Expertise in conceptual, logical, and physical data modeling, including entity-relationship design and dimensional modeling.
Database Technologies: Proficiency with relational (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).Cloud and Big Data: Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, Hive).ETL/ELT Tools: Proficiency in ETL/ELT tools (e.g., Informatica, Talend, AWS Glue) and frameworks for data ingestion, transformation, and integration.
Data Warehousing Solutions: Hands-on experience with data warehousing platforms like Snowflake, Redshift, or BigQuery.
Data Integration and Streaming: Knowledge of data integration patterns, APIs, and streaming technologies (e.g., Kafka, Kinesis).Performance Optimization: Ability to optimize database schemas, queries, and data pipelines for scalability, reliability, and speed.
Data Security and Governance: Familiarity with data governance frameworks, encryption, security controls, and compliance standards (GDPR, CCPA).Metadata Management and Cataloging: Experience with metadata repositories, data catalogs, and lineage tracking tools.
Infrastructure as Code and Automation: Skill in using Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and CI/CD pipelines for automated deployments and updates.
Job Details
Preferred Candidate
Giza Arabia
Established to create a client base and a revenue stream from the Kingdom of Saudi Arabia in the telecoms, utilities, oil & gas, and government sectors.