Staff Commercial Data Engineer

J  o  b    D  e  s  c  r  i  p  t  i  o  n

Job Profile Title:

Staff Commercial Data Engineer

Job Code:

12776

Business_Title

Staff Commercial Data Engineer

Profile Title:

12776 Staff Commercial Data Engineer

Grade / Band:

IC4

FLSA Status:

Exempt

The Staff Commercial Data Engineer is a senior technical leader responsible for designing, governing, and scaling mission-critical data platforms and analytical systems across the enterprise. This role drives the architectural direction of the Lakehouse, ensures enterprise reliability, defines data quality and observability standards, and mentors engineering teams in best practices. The position partners with leadership, Data Science, Analytics, IT, and business stakeholders to deliver trusted, high-performance, and scalable data products that power enterprise decision-making.

Serve as the architectural owner for domain-wide data models, metric definitions, and semantic consistency across Gaming, Hospitality, Loyalty, and Marketing.

Design and maintain enterprise-certified curated datasets, ensuring high-quality metric logic and business alignment.

Architect high-scale Lakehouse solutions optimized for performance, cost, lineage, and governance.

Define platform conventions for partitioning, Z-ordering, file compaction, cluster sizing, and workload orchestration.

Build reusable frameworks and accelerators for ingestion, validation, and orchestration.

Define enterprise-wide observability standards, including freshness SLAs, anomaly detection, and schema drift checks.

Architect automated self-healing workflows, quality gates, and impact analysis mechanisms.

Own performance tuning strategies for shared workloads, batch, streaming, and high-volume analytics.

Lead incident response processes for high-severity data issues and guide long-term remediation.

Act as the primary technical authority and mentor across data engineering teams, driving cross-functional initiatives and platform modernization.

Performs other job-related duties as requested

Proof of eligibility to work in the United States

Bachelor's Degree

Computer Science, Information Technology, or related field

Required

Master's Degree

Computer Science, Information Technology, or related field

Preferred

5+ Years of Prior Relevant Experience

Hands-on experience in Databricks or equivalent Spark environments

Required

7+ Years of Prior Relevant Experience

Data engineering, data platform, or analytics engineering roles

Required

Expertise in Databricks & Lakehouse platform.

Required

Strong coding skills in Python, PySpark, and SQL.

Required

Familiarity with Unity Catalog governance & permissions.

Required

Experience implementing data quality frameworks and observability.

Required

Domain Experience (at least one of the following): Gaming & Hospitality Operations, Loyalty & Customer Engagement, Marketing & Commercial Analytics.

Preferred

Ability to design and maintain certified datasets and metric logic.

Knowledge of Databricks, Delta Lake internals, and Unity Catalog governance.

Skills in partitioning, Z-ordering, and compute tuning for large-scale workloads.

Experience defining SLAs, anomaly detection, and automated monitoring frameworks.

Ability to implement self-healing workflows and manage incident response.

Expertise in analytical SQL and distributed data processing.

Ability to write production-grade pipelines and reusable libraries for ingestion and validation.

Familiarity with Terraform, Airflow, and Databricks Workflows.

Strong understanding of modeling patterns for analytics and operational systems.

Skills in query tuning and workload isolation for production stability.

Experience enforcing modular code, versioning, and automated testing frameworks.

Ability to translate technical architecture into business-aligned narratives.

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