Role overview

Principal Commercial Data Engineer

Requirements and responsibilities

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THE DAY-TO-DAY:

  • 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 modern data engineering patterns such as streaming pipelines, Delta Live Tables, feature stores, and ML observability.
  • Own Marketing and Revenue Management semantic models and certified curated datasets to ensure metric consistency and governance alignment.
  • 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 (ZORDER, OPTIMIZE, workload isolation).
  • Mentor Senior and Staff Data Engineers and lead engineering councils.

THE IDEAL CANDIDATE:

  • 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 in 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 (preferred)

THE PERKS & 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.
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Browse stack
FocusPrincipal Data EngineerRole area
Seniority signalSeniorCandidate level
StackPython, Spark, SQLPrimary skills
Location1 accepted countryEligibility

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