AtQuickLaunchAnalytics, we help organizations simplify the complex world of data. As aData 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'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.
WhatYou'llDo
- 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 solutionsusing 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 integrationsacross third-party tools and custom APIs, ensuring reliable, production-grade data workflows
- Implement secure, high-performance data architectures, including Unity Catalog,OneLakesecurity, 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 withDatabricksand/or Fabric,Spark,Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
- Solid foundation indatabase concepts and data modeling, with experience working across structured and semi-structured datasets
- Experience withETL/ELT tools and data integration, including tools likeFivetranand building/customizingAPI-based data pipelines
- Comfortable working incustomer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
- Working knowledge ofidentity 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 usingAI and automation toolsto streamline workflows, including exposure toAI 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 mightimpactdeployment approach
- Familiarity withLinux environmentsand cloud-based data ecosystems
Working Location: Remote(USA)or hybrid (Santa Cruz County, CA)
Compensation:The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.
About Us:
AtQuickLaunchAnalytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years,we'vehelped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.
We'rea team of 35+ professionals with deepexpertisein Power BI, Databricks, and Azure Cloud. Our culture is built onownership, 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'dlove to hear from you.