Senior Data Engineer
Job Description
- Understand systems and data structures supporting products
- Design data solutions with engineering, product, and business teams
- Build and maintain robust data pipelines and models
- Establish and enforce data quality, testing, and monitoring best practices
- Drive continuous improvement in data processing workflows
- Write, maintain, and optimize SQL code with cloud MPP data warehouse platforms
- 4+ years experience in Data Engineering or a closely related field
- Advanced SQL skills and deep experience implementing complex business logic and performance-optimized transformations at scale
- Expertise with modern cloud-based data platforms (Snowflake, BigQuery, Redshift)
- Strong understanding of data architecture and dimensional modeling principles
- Proven ability to lead projects through agile software development lifecycles
- Proficiency with version control systems (Git)
- Ability to quickly learn industry and domain knowledge
- Bonus
- Equity
- Benefits
The Crown Is Yours
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As a Senior Data Engineer, Games, you help will lead the design and implementation of reliable, scalable systems for transforming raw data into structured, usable formats that power data products, reporting, and operational workflows. You’ll operate across varied business domains and play a critical role in aligning technical solutions with business strategy. Your work will enable clean, performant data solutions that drive impact at scale. If you're excited about solving complex data challenges in a fast-paced, high-growth environment, come join us and grow your career. Your work will create the next generation of immersive, data-powered gaming experiences that captivate audiences worldwide.
What you’ll do as a Senior Data Engineer
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- Dive into the world to understand the systems and data structures that support our products
- Work with engineering, product, and business teams to design data solutions that meet application and reporting requirements.
- Design, build, and maintain robust data pipelines and models that power enterprise-level decision-making and cross-domain data products.
- Establish and enforce best practices around data quality, testing frameworks, and system monitoring.
- Drive continuous improvement in the performance and reliability of large-scale data processing workflows.
- Write, maintain, and optimize SQL code with cloud MPP data warehouse platforms (e.g. Snowflake).
What you’ll bring
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- 4+ years of experience in Data Engineering or a closely related field, with demonstrated expertise in building and maintaining production data systems.
- Advanced SQL skills and deep experience implementing complex business logic and performance-optimized transformations at scale.
- Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments.
- Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas.
- Proven ability to lead projects through agile software development lifecycles and mentor junior team members.
- Proficiency with version control systems (e.g., Git) and collaborative engineering practices.
- Ability to quickly learn industry and domain knowledge and leverage it to deliver solutions for critical business needs.
