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.