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Principal Commercial Data Engineer
MGM Resorts International. Define the multi-year architectural vision for MGM’s Lakehouse platform, including compute, storage, orchestration, semantic layers, governance, and reliability .
Tech Stack
Tools & technologiesDistributed SystemsPySparkPythonSparkSQLUnity
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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