Staff Commercial Data Engineer

MGM Resorts International is a leader in the entertainment industry, seeking a Staff Commercial Data Engineer to enhance their enterprise data platforms. This senior technical role involves architecting data solutions that support commercial decision-making across various domains while mentoring engineering teams to build high-quality data products.

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

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