Data Architect

1.00 to 10.00 Years Doha, Qatar 27 Feb, 2025

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.

Keyskills :

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