Solutions Delivery Manager (Data Architect)

Job description / Role

Job Description
- Develop and implement a comprehensive data and analytics practice to introduce data and analytics solutions and services for EBS customers.
- Data Strategy: Develop and implement a data strategy aligning with organizational goals. Collaborate with stakeholders to understand data needs and devise feasible solutions.
- Data Modelling: Design conceptual, logical, and physical data models.
- Define data standards, ensure data quality, and integrate new systems with existing warehouse structure.
- Database Management: Oversee database management systems to ensure they function reliably.
- Optimize database performance and conduct regular system tests and validations.
- ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes for efficiently moving data across systems.
- Ensure the ETL processes are robust, scalable, and maintain data integrity.
- Data Security: Implement data security and privacy measures.
- Develop and enforce data standards and guidelines to prevent unauthorized access or data breaches.
- Collaboration: Collaborate with cross-functional teams including software developers and analysts to integrate data-related solutions into products and services.
- Documentation: Document data architecture, including data models, data flow diagrams, data definitions, and metadata.
- Maintain comprehensive project documentation.
- Innovation: Stay abreast of industry trends and emerging technologies, suggest new tools and techniques to improve data management and analysis.
- Managing data storage and processing using Cloudera's platform
- Overseeing the configuration and management of Splunk for log analysis
- Proficiency in SQL Server for database management
- Familiarity with Teradata, Cloudera, or other data warehousing solutions
- Oversee the collection, storage, and management of data from various sources, ensuring data integrity, accuracy, and security.

Requirements

Personal Skills
- Strong leadership and people management abilities, with a track record of building and developing high-performing teams.
- Strong knowledge of data management principles, data analysis techniques, and statistical methods.
- Proficiency in data visualization tools and technologies (e.g., Tableau, Power BI) to effectively communicate insights.
- Solid understanding of database systems, data warehousing, and data governance practices.
- Experience with programming languages such as Python or R, and proficiency in SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills, with the ability to think strategically and translate complex data into actionable recommendations.
- Exceptional communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
- Demonstrated business acumen and the ability to align data and analytics initiatives with organizational objectives.
- Knowledge of ETL processes, data modelling, and data governance
- Familiarity with cloud-based data warehousing solutions
- Proficiency in cloud-based analytics tools and services
- Knowledge of cloud security and compliance best practices

Technical Skills
- Strong leadership and people management abilities, with a track record of building and developing high-performing teams.
- Strong knowledge of data management principles, data analysis techniques, and statistical methods.
- Proficiency in data visualization tools and technologies (e.g., Tableau, Power BI) to effectively communicate insights.
- Solid understanding of database systems, data warehousing, and data governance practices.
- Experience with programming languages such as Python or R, and proficiency in SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills, with the ability to think strategically and translate complex data into actionable recommendations.
- Exceptional communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
- Demonstrated business acumen and the ability to align data and analytics initiatives with organizational objectives.
- Knowledge of ETL processes, data modelling, and data governance
- Familiarity with cloud-based data warehousing solutions
- Proficiency in cloud-based analytics tools and services
- Knowledge of cloud security and compliance best practices

About the Company

Giza Systems, a leading systems integrator in the MEA region, designs and deploys industry-specific technology solutions for asset-intensive industries such as the telecoms, utilities, oil and gas, hospitality and real estate among other market sectors. We help our clients streamline their operations and businesses through our portfolio of solutions, managed services, and consultancy practice. Our team of 1000 professionals are spread throughout the region with anchor offices in Cairo, Riyadh, Dubai, Doha, Nairobi, Dar-es-Salaam, Abuja, Kampala and New Jersey, allowing us to service an ever-increasing client base in over 40 countries.