Job Title: Senior Data Architect
Location: Riyadh, Saudi Arabia (Onsite)
Employment Type: Full-time
We are hiring a Senior Data Architect (10+ years) to lead the design and delivery of an enterprise-grade data platform. This is a senior leadership role responsible for shaping long-term data strategy, implementing architectural standards, and mentoring engineering teams.
Requirements
The ideal candidate will have extensive experience in enterprise-scale data platforms (on-premises or cloud), with deep expertise in data lake and lakehouse architectures, governance, and driving enterprise-wide data standardization initiatives. Industry background in telecom, finance, tech, or other data-heavy sectors is required.
Key Responsibilities
• Enterprise Data Strategy: Define and execute a long-term data architecture vision aligned with enterprise priorities and compliance requirements.
• Data Lake & Lakehouse Architecture: Lead the design, deployment, and optimization of enterprise data lake/lakehouse platforms, whether on-premises, cloud, or hybrid.
• Architectural Standards: Establish and enforce organization-wide data architecture standards, including modeling and integration frameworks.
• ETL/ELT Pipelines: Direct the development of scalable batch and streaming pipelines to handle large, complex data volumes.
• Data Governance & Compliance: Implement robust data governance, lineage tracking, and metadata frameworks to ensure quality and compliance (e.g., GDPR, NDMO).
• Platform Performance: Continuously optimize platform scalability, performance, and cost efficiency across on-premises or cloud environments.
• Leadership & Mentorship: Guide and mentor engineering teams, instilling best practices and ensuring adherence to architecture standards.
• Technology Evaluation: Evaluate and introduce emerging tools and methodologies suitable for enterprise-scale data modernization initiatives.
Qualifications:
Education: Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field.
Experience:
• 10+ years in data engineering, data architecture, or enterprise data platform roles.
• Proven track record in leading enterprise-scale data platform implementations (on-premises or cloud).
• Demonstrated expertise in data lake and lakehouse architectures (on-premises, hybrid, or cloud).
• Strong experience driving enterprise-wide data standardization and modernization initiatives.
• Proficiency with ETL/ELT tools (Airflow, dbt, Glue) and big data ecosystems (Spark, Kafka, Delta Lake, Iceberg).
• Deep knowledge of data governance and metadata tools (Collibra, Alation, Apache Atlas).
Soft Skills:
• Executive-level leadership and stakeholder management capabilities.
• Ability to define architecture vision and enforce standards across multiple teams and domains.
• Excellent communication skills with technical and executive stakeholders.