Principal Commercial Data Engineer

MGM Resorts International

2d

About The Position

The Principal Commercial Data Engineer serves as a strategic architect and technical authority for MGM’s enterprise data ecosystem. You will define multi-year architectural direction, establish governance and observability standards, and lead cross-functional modernization initiatives across commercial domains. You will partner closely with senior leadership, architects, data science, analytics, IT, and business stakeholders to design resilient, scalable, and trusted data systems that support real-time decisioning, advanced analytics, and AI/ML applications.

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

Nice To Haves

• Domain experience in Gaming, Hospitality, Loyalty, or Commercial Analytics (preferred)

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 enterprise 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 enterprise 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 enterprise engineering councils.

Benefits

• Prioritize your wellness, access programs crafted to nurture your mental and physical health.
• Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
• Savor delicious meals for free in our employee dining room.
• Park with ease—whether you're on or off shift, it's free!
• From healthcare to financial support and generous time-off options, we’ve got you covered.
• Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal