Senior Data Engineer (Data Governance Lead)
ABOUT YOU
We are looking for a Senior Data Engineer who is a hands-on problem solver who balances velocity with reliability in fast-paced environments. With excellent cross-functional communication skills, you can translate seamlessly between engineering and business stakeholders. You're passionate about data governance and building reliable, high-performance data systems. You thrive in collaborative settings, working alongside ML engineers, backend teams, and business partners to ensure data accuracy, performance, and security across the organization.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
This role will assign the data engineering efforts for the Uer Platform (CDP) and Recommendation Engine, ensuring data accuracy, performance, data alignment and security across pipelines connecting Snowflake, Postgres, Kafka, and API Gateway services.
You’ll 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
This role will lead the data governance best practices and communication cross the organization.
3-8 years of experience in Data Engineering, with data governance responsibilities .
SQL and Python skills, with proven experience building ETL/ELT at scale.
Understanding of Snowflake performance tuning, query optimization, and warehouse orchestration.
Understanding of data modeling (Kimball, Data Vault, or hybrid).
Familiarity with API-based data integration and microservice architectures.
Excellent cross-functional communication — can translate between engineering and business.
Hands-on problem solver who balances velocity with reliability.
