Staff Commercial Data Engineer

MGM Resorts International

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About The Position

We are seeking a Staff Commercial Data Engineer to architect and elevate the enterprise data platforms that power commercial decision-making across Gaming, Hospitality, Loyalty, and Marketing. This is a senior technical role responsible for defining the architectural direction of our Lakehouse ecosystem, ensuring enterprise reliability and governance standards, and mentoring engineering teams to build world-class data products. As the architectural owner of domain-wide data models and certified datasets, you will drive metric consistency, platform scalability, and business-aligned data solutions in close partnership with Data Science, Analytics, IT, and commercial leadership.

Requirements

• 7+ years of prior relevant experience in data engineering, data platform, or analytics engineering roles
• 5+ years of prior relevant hands-on experience in Databricks or equivalent Spark environments
• Expertise in Databricks and Lakehouse architecture
• Strong coding proficiency in Python, PySpark, and SQL
• Experience with Unity Catalog governance and permissions
• Proven implementation of data quality frameworks and observability standards
• Deep knowledge of Delta Lake internals and distributed data processing
• Experience defining SLAs, anomaly detection, and automated monitoring frameworks
• Expertise in performance tuning, workload isolation, partitioning strategies, and compute optimization
• Strong understanding of modeling patterns for analytics and operational systems
• Experience building production-grade pipelines, reusable libraries, modular code standards, version control, and automated testing
• Familiarity with Terraform, Airflow, and Databricks Workflows

Nice To Haves

• Domain experience in Gaming & Hospitality Operations, Loyalty & Customer Engagement, or Marketing & Commercial Analytics preferred
• Ability to translate complex technical architecture into clear, business-aligned narratives

Responsibilities

• Serve as the architectural owner for enterprise data models, metric definitions, and semantic consistency across commercial domains
• Design and maintain certified, curated datasets aligned to business logic and executive reporting standards
• Architect and optimize high-scale Lakehouse solutions for performance, governance, cost, and lineage
• Define enterprise conventions for partitioning, Z-ordering, file compaction, cluster sizing, and workload orchestration
• Build reusable ingestion, validation, and orchestration frameworks
• Establish observability standards including freshness SLAs, anomaly detection, and schema drift monitoring
• Implement automated quality gates, impact analysis, and self-healing workflows
• Own performance tuning strategies across batch, streaming, and high-volume analytics workloads
• Lead high-severity incident response and drive long-term remediation strategies
• Mentor engineers and influence cross-functional platform modernization initiatives

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: Mid Level
• Education Level: No Education Listed