# Data Lead

> Syarah · Amman, Jordan · — · Posted 2026-04-26

**Workplace:** on_site

**Department:** Product

## Description

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

## Apply

[Apply at Syarah](https://apply.workable.com/syarah/j/DFD5160636/apply)

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