Job Detail

Job Description

Overview:

Design, implement, and govern the organization's data architecture to support strategic objectives. Develop frameworks and models to ensure seamless integration, quality, security, and governance of data across multiple systems. Lead efforts in data discovery, profiling, cleansing, and analytics, enabling the organization to leverage data as a critical asset for decision-making and innovation.

Responsibilities:

1. Data Architecture Development:

• Design and maintain data architecture frameworks, including conceptual, logical, and physical data models.
• Develop and enforce data standards, policies, and governance frameworks to ensure data quality, consistency, and security.
• Lead the design and implementation of data integration pipelines, ensuring seamless interoperability between internal and external systems.

2. Data Discovery and Profiling:

• Conduct data discovery and profiling activities to assess data quality, identify anomalies, and understand data relationships.
• Analyze existing data assets and processes to identify opportunities for optimization and improvement.
• Collaborate with stakeholders to document data requirements and identify data sources.

3. Data Integration and Transformation:

• Develop and implement ETL (Extract, Transform, Load) processes to integrate data from multiple sources.
• Ensure the integrity, accuracy, and timeliness of data flowing through pipelines.
• Design and implement data lakes, data warehouses, and data marts to support analytics and reporting needs.

4. Data Governance and Compliance:

• Establish and enforce governance practices to ensure compliance with organizational policies and regulatory requirements.
• Monitor and manage data security, privacy, and access controls to protect sensitive information.
• Provide expertise in regulatory standards such as Qatar NIA, GDPR, HIPAA, or equivalent as applicable.

5. Analytics and AI Enablement:

• Support the development of AI-driven use cases by designing data pipelines and models optimized for machine learning and analytics.
• Collaborate with data scientists and business analysts to enable predictive analytics and advanced data insights.
• Leverage cloud-based data services and platforms to enhance scalability and efficiency.

6. Collaboration and Stakeholder Engagement:

• Work closely with business units, application architects, and IT teams to align data architecture with organizational goals.
• Partner with cross-functional teams to ensure data solutions meet performance, scalability, and security requirements.
• Act as a liaison between technical teams and business stakeholders to translate business needs into technical data solutions.

7. Emerging Technologies and Innovation:

Stay updated on emerging trends in data architecture, big data, and analytics technologies.

Evaluate and recommend tools and technologies that enhance the organization’s data capabilities.

Promote a culture of innovation by identifying opportunities to use data in transformative ways.

8. Documentation and Knowledge Sharing:

• Create and maintain comprehensive documentation for data architecture, models, and processes.
• Provide training and guidance to teams on best practices for data management and governance.
• Develop dashboards and reports to communicate data architecture performance and compliance metrics to stakeholders.

Skills and Requirements:

Education:

University graduate in Computer Science, Data Science, or a related field.

Experience:

5+ years of experience in data architecture, data engineering, or related fields.

Proven experience designing and implementing large-scale data integration and governance frameworks.

Local Qatar knowledge and experience is a plus.

Certifications:

• DAMA certification or an equivalent.
• TOGAF certification is a plus.
• Additional certifications in data governance (e.g., DGSP), database management (e.g., Oracle, SQL Server), or cloud platforms (e.g., AWS, Azure) are a plus.

Technical Skills:

• Proficiency in data modeling tools and methodologies.
• Strong knowledge of database technologies (e.g., SQL, NoSQL, Hadoop).
• Expertise in ETL tools (e.g., Informatica, Talend) and data integration frameworks.
• Familiarity with cloud-based data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
• Experience with analytics and visualization tools (e.g., Power BI, Tableau).

Soft Skills:

Strong analytical and problem-solving skills.

Excellent communication and interpersonal skills to work effectively with technical and non-technical stakeholders.

Leadership abilities, with the capability to drive change and influence decision-making.

Tools and Methodologies:

Hands-on experience with data architecture tools (e.g., Orbus iServer or others).

Familiarity with Agile and DevOps methodologies for data pipeline development.

Knowledge of data privacy and security frameworks (e.g., QATAR NIA, GDPR, HIPAA).

Knowledge of Qatar Enterprise Architecture GEA is a plus.

Language:

Arabic is preferred, Proficiency in English is required.

Operating Environment:

Collaborate with cross-functional teams and stakeholders to ensure data architecture aligns with organizational goals.

Work in a dynamic environment requiring adaptability and multitasking.

Frequent external stakeholder meetings and workshops are expected.

Skills Required

• Data Analysis