Sr Data Commercial Engineer

About This Opportunity

We are representing a confidential hospitality and entertainment organization seeking a Senior Data Commercial Engineer to join their growing data platform team. This is a technical leadership role focused on designing and maintaining enterprise-scale data products that drive analytics, reporting, and strategic decision-making.

Our client operates at significant scale and is investing heavily in modern data architecture. You'll own critical aspects of data reliability, governance, and performance optimization within a Databricks environment.

Responsibilities

• Lead cross-functional initiatives to define and maintain certified business definitions, KPIs, metrics, and standardized logic across assigned data domains
• Design, document, and maintain enterprise-ready curated tables and high-performance data models aligned to business and analytical requirements
• Optimize data pipelines, partitioning strategies, file compaction, compute utilization, and query costs to improve performance, scalability, and production stability
• Enforce Unity Catalog governance standards including data ownership, permissions, certification workflows, and access management
• Establish and monitor data reliability standards: 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 and training teams on certified datasets and governance practices

What We're Looking For

• Bachelor's degree in Computer Science, Information Technology, or related field required; Master's preferred
• 5+ years of experience in data engineering, analytics engineering, or data platform roles
• 3+ years building production workloads in Databricks or similar Spark-based environments
• Strong expertise in Databricks, Delta Lake, Lakehouse architecture, and Unity Catalog including governance, permissions, and data certification
• Advanced programming skills in Python, PySpark, and SQL with experience in analytical SQL, distributed data processing, and production-grade pipeline development
• Proven experience with data quality frameworks, observability, monitoring, anomaly detection, SLAs, validation, lineage tracking, and self-healing pipelines
• Deep knowledge of data modeling, partitioning, file compaction, query/performance tuning, compute optimization, and workload isolation for large-scale production systems
• Ability to translate technical requirements into business-aligned solutions and standardize best practices across teams
• Experience with Terraform and orchestration tools such as Airflow or Databricks Workflows preferred
• Domain experience in hospitality, loyalty/customer engagement, or commercial analytics is a plus

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and schedule an initial screening conversation. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the hiring organization directly—we manage all candidate communications and feedback throughout the process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

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