Data Lead

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