Principal Commercial Data Engineer

The SHOW comes alive at MGM Resorts International

Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.

THE JOB:

The Principal Commercial Data Engineer serves as a strategic architect and technical authority for MGM’s Marketing and Revenue Management data ecosystem. You will define multi-year architectural direction, establish governance and observability standards, and lead cross-functional modernization initiatives across commercial domains.

You will partner closely with senior leadership, architects, data science, analytics, IT, and business stakeholders to design resilient, scalable, and trusted data systems that support real-time decisioning, advanced analytics, and AI/ML applications.

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.

VIEW JOB DESCRIPTION:

https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=12778

Pay Range:

The pay range for this role is:

This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.

Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.

Are you ready to JOIN THE SHOW? Apply today!