
10,000+ employees
✈️ Travel
📣 Marketing
🏨 Hospitality
Travel • Marketing • Hospitality
MGM Resorts International is a global hospitality and entertainment company renowned for its luxurious resorts and casinos. With 28 destinations, primarily in Las Vegas, the company offers a blend of exceptional customer service, fine dining, entertainment options, and event facilities. MGM is dedicated to global expansion and emphasizes diversity, sustainability, and philanthropy while providing memorable experiences to its guests. The company boasts a large workforce of 81,000 global employees and is recognized as one of FORTUNE® Magazine’s World’s Most Admired Companies®.
🔥 14 hours ago
🐊 Florida, Nevada, +6 more states – Remote
💵 $126.2k - $168.3k / year
⏰ Full Time
🔴 Lead
🚰 Data Engineer
👻 Ghost score 0%
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10,000+ employees
✈️ Travel
📣 Marketing
🏨 Hospitality
Travel • Marketing • Hospitality
MGM Resorts International is a global hospitality and entertainment company renowned for its luxurious resorts and casinos. With 28 destinations, primarily in Las Vegas, the company offers a blend of exceptional customer service, fine dining, entertainment options, and event facilities. MGM is dedicated to global expansion and emphasizes diversity, sustainability, and philanthropy while providing memorable experiences to its guests. The company boasts a large workforce of 81,000 global employees and is recognized as one of FORTUNE® Magazine’s World’s Most Admired Companies®.
• 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 streaming pipelines, Delta Live Tables, feature stores, and ML observability • Own Marketing and Revenue Management semantic models and certified curated datasets • 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 using ZORDER, OPTIMIZE, and workload isolation • Mentor Senior and Staff Data Engineers and lead engineering councils • Partner with senior leadership, architects, data science, analytics, IT, and business stakeholders to design resilient, scalable, and trusted data systems supporting real-time decisioning, advanced analytics, and AI/ML applications
• 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 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 is preferred
• Wellness programs supporting mental and physical health • Discounts on hotel stays, dining, retail, entertainment, and partner perks for travel and technology • Free meals in the employee dining room • Free parking on and off shift • Medical insurance • Dental insurance • Vision insurance • Life insurance • 401(k) plan • Time off plans • Career development programs • Networking events • Community volunteer opportunities • Eligibility to participate in the Company’s incentive plan
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