Data Platform Engineer

At QuickLaunch Analytics, we help organizations simplify the complex world of data.

As a Data Platform Engineer , you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting.

You’ll work across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

• Design and deploy modern data platforms in Azure Databricks , including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
• Build scalable data pipelines and Lakehouse solutions using Python, SQL, and orchestration across Databricks and Microsoft Fabric
• Lead customer implementations and technical delivery , supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
• Develop and manage ETL/ELT integrations across third-party tools and custom APIs, ensuring reliable, production-grade data workflows
• Implement secure, high-performance data architectures , including Unity Catalog, OneLake security, networking (VPNs, private endpoints), and cost optimization
• Partner directly with customers as a technical advisor , translating business needs into data platform solutions and driving best practices across Databricks and Fabric

• Strong hands-on experience with Databricks and/or Fabric , Spark, Python, and SQL , with the ability to build and troubleshoot production-grade data pipelines
• Solid foundation in database concepts and data modeling , with experience working across structured and semi-structured datasets
• Experience with ETL/ELT tools and data integration , including tools like Fivetran and building/customizing API-based data pipelines