MGM Resorts International
MGM Resorts International
MGM Resorts International operates a global portfolio of hospitality and entertainment destinations, combining resorts, casinos, dining, live entertainment, and event spaces. With 28 destinations, primarily in Las Vegas, the company brings together guest-service, travel, marketing, and hospitality teams serving visitors across its properties. MGM Resorts also highlights global growth, diversity, sustainability, and philanthropy as part of its business and workplace culture, supported by a workforce of approximately 81,000 employees worldwide.

Principal Commercial Data Engineer

Lead the architecture of MGM Resorts International’s commercial Lakehouse and analytics ecosystem. Modernize data platforms supporting Gaming, Hospitality, Loyalty, Marketing, analytics, and AI/ML.

Description

  • Set the long-term architecture for MGM’s Lakehouse platform, covering compute, storage, orchestration, semantic layers, governance, and reliability
  • Design scalable architectures for high-volume Gaming, Hospitality, Loyalty, and Marketing data across real-time, batch, and federated environments
  • Create data modeling standards for Marketing and Revenue Management, including fact and event layers, dimensional schemas, KPIs, and shared semantic definitions
  • Drive the adoption of streaming pipelines, Delta Live Tables, feature stores, and ML observability practices
  • Manage Marketing and Revenue Management semantic models and certified, curated datasets
  • Establish organization-wide practices for data quality, observability, SLAs, SLOs, and incident lifecycle management
  • Build automated capabilities for detecting schema drift, monitoring anomalies, and recovering pipelines automatically
  • Improve Databricks performance and cost efficiency through ZORDER, OPTIMIZE, and workload isolation
  • Coach Senior and Staff Data Engineers while guiding engineering councils
  • Collaborate with executives, architects, data scientists, analysts, IT teams, and business partners to build resilient, scalable, trusted data systems for real-time decisions, advanced analytics, and AI/ML applications

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related discipline
  • At least 10 years of relevant experience in data engineering, data platforms, distributed systems, or a comparable field
  • At least 5 years of experience architecting large-scale workloads with Databricks or equivalent Spark platforms
  • Expertise in Databricks and Lakehouse architecture
  • Advanced proficiency with Python, PySpark, and SQL
  • 深 expertise in Unity Catalog governance and data lineage
  • Demonstrated success designing enterprise semantic layers and KPI standards
  • Experience delivering enterprise data quality and observability frameworks
  • Experience in Gaming, Hospitality, Loyalty, or Commercial Analytics is preferred

Benefits

  • Programs focused on mental and physical wellness
  • Discounts on hotel accommodations, dining, retail, entertainment, and partner travel and technology offerings
  • Complimentary meals in the employee dining room
  • Free parking during and outside scheduled shifts
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Life insurance coverage
  • 401(k) plan
  • Paid time off programs
  • Career development opportunities
  • Professional networking events
  • Community volunteering opportunities
  • Eligibility for the Company’s incentive plan

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