Lead Data Engineer

October 28

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Xsolla

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Gaming • eCommerce • SaaS

Xsolla is a company specializing in game commerce solutions. It provides tools and services that empower video game developers to monetize, distribute, and fund their games, helping them to increase revenue at any stage of development. Xsolla offers a wide range of solutions such as customizable web shops, payment processing, fraud prevention, and social packages to enhance player engagement. With over 19 years of experience in the video game industry, Xsolla collaborates with developers and publishers globally to manage compliance, taxes, and operational complexities, allowing them to focus on connecting with their players. Their services are designed to work with popular game development platforms like Unity, Unreal, and Cocos Creator, supporting a wide array of local payment methods worldwide.

201 - 500 employees

Founded 2005

🎮 Gaming

🛍️ eCommerce

☁️ SaaS

📋 Description

• Lead the data engineering efforts for the Uer Platform (CDP) and Recommendation Engine • Ensure data accuracy, performance, and security across pipelines connecting Snowflake, Postgres, Kafka, and API Gateway services • Collaborate with ML engineers, backend teams, and business stakeholders to build reliable, high-performance data systems that support insights, automation, and machine learning use cases

🎯 Requirements

• 6+ years of experience in Data Engineering, with 3+ years in Snowflake ecosystem. • Strong SQL and Python skills, with proven experience building ETL/ELT at scale. • Deep understanding of Snowflake performance tuning, query optimization, and warehouse orchestration. • Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar). • Solid understanding of data modeling (Kimball, Data Vault, or hybrid). • Proficiency in Kafka, GCP, or AWS for real-time or batch ingestion. • Familiarity with API-based data integration and microservice architectures. • Preferred: Experience working with machine learning teams or deploying ML feature pipelines. • Background in ad-tech, gaming, or e-commerce recommendation systems. • Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). • Experience managing small data engineering teams and setting technical direction • Strong ownership and ability to work autonomously in a fast-paced environment. • Excellent cross-functional communication — can translate between engineering and business. • Hands-on problem solver who balances velocity with reliability. • Collaborative mentor who raises the bar for team quality and discipline

🏖️ Benefits

• 100% company-paid medical, dental, and vision plans • Unlimited Flexible Time Off • Personalized career roadmap for each employee • Professional development through training and educational opportunities