Data Platform Engineer

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.

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.

What You’ll Do

• 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

Who You Are

• 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
• 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 ID users, 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

Nice to Have

• 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 $1 2 5 ,000- 155 ,000. There is also an opportunity for a discretionary bonus.

About Us

At QuickLaunch Analytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years, we’ve helped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We’re a team of 35+ professionals with deep expertise in Power BI, Databricks, and Azure Cloud. Our culture is built on ownership, collaboration, and continuous learning , reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact, we’d love to hear from you.