Data Engineering Director

We are seeking an exceptional Data Engineering Director to lead Rewaa's data organization through a transformative phase of growth and innovation. This is not a typical data leadership role; we need a true technical leader who can architect enterprise-scale systems, help to drive AI/ML innovation, and deliver products that fundamentally change how we operate. The ideal candidate is a proven technical leader who can architect enterprise-grade data systems from the ground up, translate complex analytics into revenue-driving products, work hands-on with teams to solve the most complicated problems, and inspire excellence in others.

Key Accountabilities

• Define the data product vision, strategy, and long-term roadmap aligned with business objectives, anticipating needs 2-3 years ahead. 
• Own end-to-end data architecture and pipelines, ensuring scalability, reliability, and maintainability at enterprise scale. 
• Design and oversee scalable, fault-tolerant data infrastructure, including distributed storage solutions, streaming architectures, and cloud infrastructure (AWS/GCP). 
• Establish and enforce best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure-as-code, automated testing, and data observability. 
• Evaluate and improve the technical quality of solutions, conducting architecture reviews and providing actionable guidance to teams. 
• Assess emerging technologies (real-time streaming, LLMs, vector databases, etc.) and make strategic build-vs-buy decisions. 
• Drive data governance, security, and compliance frameworks, ensuring data privacy and regulatory adherence. 

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• Provide expert code reviews, architectural guidance, and mentor engineers on advanced topics (distributed systems, ML engineering, optimization). 
• Debug and resolve critical production issues, and identify bottlenecks and inefficiencies in technical systems and team workflows, implementing automation and process improvements. 
• Build data quality frameworks, including automated validation, anomaly detection, and lineage tracking. 
• Establish incident response processes and conduct blameless post-mortems to drive continuous improvement.

Qualifications

• 10+ years in data engineering, or data-focused product leadership, with 4+ years leading teams in senior/director+ roles at high-growth companies. 
• Data infrastructure and architecture (data warehousing, data lakes, lakehouses, streaming architectures like Kafka/Kinesis). 

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• Advanced data modeling (dimensional, Data Vault, graph, event-driven). 
• Develop and manage ETL/ELT pipelines and orchestration tools 
• Deploy and monitor ML and AI models in production at scale. 
• Optimize cloud platforms (AWS or GCP), including data services, serverless, and cost efficiency.
• Write and optimize SQL, programming languages for data engineering, and distributed computing (Spark). 
• Implement modern data stack tools (Databricks, Fivetran, Airbyte, etc.). 
• Hands-on experience with CI/CD, Docker/Kubernetes, infrastructure-as-code, and DevOps/DataOps practices 
• Proven track record of building data products that delivered >$10M in value or transformed business operations

Note for Applicants: This is a relocation onsite opportunity to our Riyadh HQ