Sr Data Commercial Engineer

**THE JOB:**The Senior Commercial Data Engineer is a technical leader responsible for designing, building, and maintaining high-quality, scalable, and reliable data products that power analytics, reporting, and advanced decision-making across the enterprise. This role owns curated data enablement, data observability, metric governance, and performance optimization within Databricks, ensuring the business has consistent, trusted, and high-performing datasets.**THE DAY-TO-DAY:*** Lead cross-functional efforts to define and maintain certified business definitions, KPIs, metrics, and logic across assigned data domains.* Design, document, and maintain enterprise-ready curated tables and high-performance data models in Databricks aligned to business and analytical needs.* Optimize data pipelines, partitioning, file compaction, compute utilization, and query costs to improve performance, scalability, and production stability.* Enforce Unity Catalog governance standards, including data ownership, permissions, certification, and access management workflows.* Establish and monitor data reliability standards, including freshness SLAs, completeness thresholds, schema drift detection, and automated anomaly monitoring.* Own incident response, pipeline triage, and root-cause analysis for data failures, performance issues, and metric discrepancies.* Serve as the primary data reliability owner, driving continuous improvement while training teams on certified datasets, governance practices, and trusted data usage.**THE IDEAL CANDIDATE:*** Bachelor’s degree in Computer Science, Information Technology, or a related field required; Master’s degree preferred.* 5+ years of experience in data engineering, analytics engineering, or data platform roles, including 3+ years building production workloads in Databricks or similar Spark environments.* Strong expertise in Databricks, Delta Lake, Lakehouse architecture, and Unity Catalog, including governance, permissions, and data certification standards.* Advanced programming skills in Python, PySpark, and SQL, with experience in analytical SQL, distributed data processing, production-grade pipelines, and automation.* Proven experience with data quality, observability, monitoring, anomaly detection, SLAs, validation, lineage, and self-healing pipeline frameworks.* Strong knowledge of data modeling, partitioning, file compaction, query/performance tuning, compute optimization, and workload isolation for large-scale production environments.* Ability to translate technical requirements into business-aligned data solutions, standardize best practices, mentor teams, and preferably work with Terraform and orchestration tools such as Airflow or Databricks Workflows; domain experience in gaming/hospitality, loyalty/customer engagement, or marketing/commercial analytics is preferred.**THE PERKS & BENEFITS:*** Wellness incentive programs to help you stay healthy physically and mentally* Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more* Free meals in our employee dining room* Free parking* Health & Income Protection benefits ***(for eligible employees)**** Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community #J-18808-Ljbffr MGM Resorts International