Staff Commercial Data Engineer

MGM Resorts International

1d•Onsite

About The Position

We are seeking a Staff Commercial Data Engineer to architect and elevate the Marketing and Revenue Management 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 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 Marketing and Revenue Management 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 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