- 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
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field required
- 5+ years of experience in data engineering, analytics engineering, or data platform roles
- 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
- 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, standardise best practices, mentor teams
- 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
Core Competencies
Demonstrates expertise in data engineering and analytics, with a strong focus on Databricks, Delta Lake, and data governance. Capable of optimizing data pipelines and ensuring data reliability while mentoring teams on best practices.
Highest-signal resume keywords
- Databricks Expertise
- Data Governance Standards
- Python Programming
- Data Quality Monitoring
- Data Modeling
Hard Skills
- Data Engineering
- Analytics Engineering
- Production Workloads
- Analytical SQL
- Distributed Data Processing
- Data Quality
- Data Modeling
- Performance Tuning
- Automation
- Root-Cause Analysis
Soft Skills
- Mentoring
- Collaboration
- Problem‑Solving
Industry Keywords
- Gaming
- Hospitality
- Loyalty
- Customer Engagement
- Marketing Analytics
Tools & Technologies
- Databricks
- Delta Lake
- Unity Catalog
- Terraform
- Airflow
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Senior Data Commercial Engineer Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
