At
Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a
Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.
This is a
hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the
analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.
You will design and govern Syarah's end-to-end data platform on
GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.
You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.
Key Responsibilities
- Lead and mentor a cross-functional data team (engineering, analytics, data science)
- Architect and manage Syarah's data platform on GCP (BigQuery, Cloud Run, Dataform)
- Design scalable ETL pipelines and unified star schema data models
- Integrate ERPNext and other operational systems into centralized data architecture
- Build and deploy containerized services using Docker on Cloud Run
- Develop and maintain Flask REST APIs for secure data sharing
- Own data DevOps, including CI/CD pipelines and infrastructure management
- Orchestrate workflows using Apache Airflow
- Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake
- Ensure reliable event tracking, identity resolution, and funnel analytics across platforms
- Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking
- Deliver proactive insights: identify trends, anomalies, and risks before they are requested
- Translate data into executive-level business decisions and recommendations
- Define KPI frameworks and build trusted data products for finance, operations, and product teams
- Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards
- Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation
Requirements
- 7+ years of experience in data engineering, analytics, or data platform roles
- Proven experience in a data leadership or senior technical role
- Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)
- Advanced proficiency in Python and SQL
- Solid experience building and scaling data pipelines and ETL architectures
- Experience with API development (Flask or similar frameworks)
- Hands-on experience with Airflow or other workflow orchestration tools
- Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)
- Experience working with ERP systems (ERPNext or similar) is a plus
- Strong understanding of data modeling, KPI frameworks, and business intelligence
- Experience in building or leading data teams
- Strong business acumen with ability to translate data into actionable insights
- Experience with CI/CD, Docker, and cloud infrastructure management
- Exposure to AI/ML tools or LLM-based automation is a strong plus
- Excellent communication skills and ability to work closely with executive leadership
