Data Platform Engineer

Overview

At Quick Launch 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, One Lake 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 Fivetran and building/customizing API‑based data pipelines
• Comfortable working in customer‑facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
• Working knowledge of identity and access management concepts (e.g., Entra , groups, and permissions)
• Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
• Ability to communicate effectively with both technical and non‑technical customers and team members

• Experience using AI and automation tools to streamline workflows, including exposure to AI agents or intelligent automation frameworks
• Experience configuring private endpoints in Azure, including networking setup and DNS configuration
• Understanding of Power BI and Fabric licensing and how licensing might impact deployment approach
• Familiarity with Linux environments and cloud‑based data ecosystems

Working

Location:

Remote (USA) or hybrid (Santa Cruz County, CA)

Compensation:
The estimated base salary range for this role is $,000. There is also an opportunity for a discretionary bonus.