Data Architect

Overview

We are seeking a seasoned Data Architect with over 8 years of experience to design and develop scalable and secure data architectures and solutions. The role is based in Doha, Qatar, requiring full-time onsite work. The successful candidate will bring expertise in data modeling, database systems, cloud platforms, and data governance to support enterprise-wide data initiatives.

Core Responsibilities

• Create and deploy robust, high-performance data architectures that meet scalability and security standards.
• Develop enterprise-level data models encompassing conceptual, logical, and physical layers.
• Establish and maintain standards, principles, and best practices for data architecture within the organization.
• Design and enhance data warehouses, data lakes, and other contemporary data platforms.
• Lead the creation and management of ETL and ELT pipelines for effective data integration.
• Collaborate cross-functionally with business, engineering, analytics, and IT teams to capture comprehensive data requirements.
• Ensure data platforms comply with quality, governance, security, and regulatory requirements.
• Evaluate current data architectures, recommending improvements and modernization strategies.
• Optimize database operations including performance, scalability, and reliability.
• Provide technical leadership and mentoring to data engineering and development teams.
• Document technical designs with architecture diagrams and data flow schematics.

Essential Qualifications

• Minimum 8 years of experience in Data Architecture, Data Engineering, or related disciplines.
• Expertise in data modeling and database architecture.
• Proficiency with SQL and relational database systems.
• Strong background in data warehousing, data lakes, and data integration strategies.
• Practical experience building and managing ETL/ELT pipelines.
• Hands-on knowledge of cloud data platforms such as Microsoft Azure, Amazon AWS, or Google Cloud Platform.
• Familiarity with distributed data frameworks like Apache Spark.
• Experience working with modern data platforms such as Snowflake and Databricks.
• Comprehensive understanding of data governance, security, quality, and metadata management.
• Demonstrated ability to architect scalable data solutions handling large volume data environments.
• Strong analytical mindset coupled with effective problem-solving and communication abilities.

Preferred Skills

• Experience with Azure Data Factory, AWS Glue, or Google Cloud Dataflow for data orchestration.
• Knowledge of Power BI or equivalent business intelligence and visualization tools.
• Familiarity with API-driven data integration and microservices architecture.
• Understanding of advanced data architecture frameworks like Data Mesh and Data Fabric.
• Possession of relevant certifications in cloud or data architecture disciplines is advantageous.

Key Competencies

• Enterprise-scale data architecture design and implementation.
• Advanced data modeling techniques.
• Design and optimization of data warehouses and lakes.
• ETL/ELT pipeline development and management.
• Cloud data platform architecture and deployment.
• Governance, data security, and compliance management.
• Database performance tuning and optimization.
• Cross-team technical leadership and stakeholder engagement.
• Strong analytical and problem-solving skills.