Collectiv

Data Engineer

• Design and implement modern data platforms leveraging Microsoft Fabric and Databricks
• Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
• Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
• Translate business and analytical requirements into technical designs and data models
• Develop and maintain semantic models that enable performant reporting and self-service analytics
• Partner with analytics and business teams to deliver trusted datasets and dashboards
• Ensure data quality, reliability, and usability across the analytics platform
• Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals

Data Engineer, Azure, Fabric, Databricks