Senior Data Platform Engineer

📋 Description

• Design, build, and maintain data ingestion and orchestration components (e.g., Fabric Data
• Ensure data quality and reliability by implementing quality checks, monitoring anomalies
• Develop curated transformation layers (Silver/Gold) aligned to defined grains and keys to publish
• Operate and monitor platform components (schedules, alerts, runbooks) and maintain accurate
• Work with analytics/BI teams to ensure datasets support reporting needs and assist with validation

🎯 Requirements

• 5+ years’ experience in Business Intelligence, Data Warehouse, or Lakehouse projects.
• Proficiency in Python or Spark-based transformations and strong SQL skills for complex query
• Experience with Microsoft Fabric (preferred) or similar cloud data environments and orchestration
• Deep understanding of Delta table concepts (partitioning, schema evolution) and dimensional data
• Proven ability to manage the full development lifecycle and troubleshoot performance problems
• Ability to express complex technical concepts in business terms and work effectively in a team

🎁 Benefits

• Familiarity with reporting/semantic consumption patterns (Power BI familiarity is a plus).
• Comfort working in a client-services environment (multiple engagements, shifting priorities, clear
• Knowledge of multi-unit retail/restaurant analytics is helpful but not required.