Principal Commercial Data Engineer

MGM Resorts International is an entertainment and hospitality company seeking a Principal Commercial Data Engineer. The role serves as a strategic architect and technical authority for the Marketing and Revenue Management data ecosystem, defining architectural direction, governance, and observability standards. The position leads modernization initiatives and designs scalable data systems supporting real-time decisioning, advanced analytics, and AI/ML applications.

Responsibilities:

• Define the multi-year architectural vision for MGM’s Lakehouse platform, including compute, storage, orchestration, semantic layers, governance, and reliability
• Architect scalable solutions for high-volume Gaming, Hospitality, Loyalty, and Marketing datasets across real-time, batch, and federated environments
• Establish Marketing and Revenue Management data modeling standards across fact/event layers, dimensional schemas, KPIs, and unified semantic definitions
• Lead adoption of modern data engineering patterns such as streaming pipelines, Delta Live Tables, feature stores, and ML observability
• Own Marketing and Revenue Management semantic models and certified curated datasets to ensure metric consistency and governance alignment
• Define organizational standards for data quality, observability, SLAs/SLOs, and incident lifecycle management
• Implement automated frameworks for schema drift detection, anomaly monitoring, and pipeline self-healing
• Optimize Databricks workloads for performance and cost efficiency (ZORDER, OPTIMIZE, workload isolation)
• Mentor Senior and Staff Data Engineers and lead engineering councils

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field
• 10+ years of prior relevant experience in data engineering, data platforms, distributed systems, or related fields
• 5+ years of prior relevant experience in architecting large-scale workloads in Databricks or equivalent Spark platforms
• Expert-level Databricks and Lakehouse architecture experience
• Advanced Python, PySpark, and SQL skills
• Deep expertise in Unity Catalog governance and lineage
• Proven experience designing enterprise semantic layers and KPI standards
• Experience implementing enterprise data quality and observability frameworks
• Domain experience in Gaming, Hospitality, Loyalty, or Commercial Analytics (preferred)