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Data Platform Engineer
<p><span><span>At </span><span>QuickLaunch</span><span> Analytics, we help organizations simplify the complex world of data. As a </span></span><span style="font-weight: bold"><span><span>Data Platform Engineer</span></span></span><span><span>, 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.</span></span><span> </span></p> <p><span><span>This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting. </span><span>You’ll</span><span> work across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.</span></span><span> </span></p> <p><span> </span></p> <p><span> </span></p> <p><span style="font-weight: bold"><span><span>What </span><span>You’ll</span><span> Do</span></span></span><span><span> </span></span><span> </span></p> <p><span> </span></p> <ul> <li><span style="font-weight: bold"><span><span>Design and deploy modern data platforms in Azure Databricks</span></span></span><span><span>, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization</span></span><span> </span></li> </ul> <ul> <li><span style="font-weight: bold"><span><span>Build scalable data pipelines and Lakehouse solutions</span></span></span><span><span> using Python, SQL, and orchestration across Databricks and Microsoft Fabric</span></span><span> </span></li> </ul> <ul> <li><span style="font-weight: bold"><span><span>Lead customer implementations and technical delivery</span></span></span><span><span>, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments</span></span><span> </span></li> </ul> <ul> <li><span style="font-weight: bold"><span><span>Develop and manage ETL/ELT integrations</span></span></span><span><span> across third-party tools and custom APIs, ensuring reliable, production-grade data workflows</span></span><span> </span></li> </ul> <ul> <li><span style="font-weight: bold"><span><span>Implement secure, high-performance data architectures</span></span></span><span><span>, including Unity Catalog, </span><span>OneLake</span><span> security, networking (VPNs, private endpoints), and cost optimization</span></span><span> </span></li> </ul> <ul> <li><span style="font-weight: bold"><span><span>Partner directly with customers as a technical advisor</span></span></span><span><span>, translating business needs into data platform solutions and driving best practices across Databricks and Fabric</span></span><span> <br></span><span><span> </span></span><span> </span></li> </ul> <p><span style="font-weight: bold"><span><span>Who You Are</span></span></span><span><span> </span></span><span> </span></p> <p><span> </span></p> <ul> <li><span><span>Strong hands-on experience with </span></span><span style="font-weight: bold"><span><span>Databricks</span><span> and/or Fabric</span><span>,</span><span> Spark,</span><span> Python, and SQL</span></span></span><span><span>, with the ability to build and troubleshoot production-grade data pipelines</span></span><span> </span></li> </ul> <ul> <li><span><span>Solid foundation in </span></span><span style="font-weight: bold"><span><span>database concepts and data modeling</span></span></span><span><span>, with experience working across structured and semi-structured datasets </span></span><span> </span></li> </ul> <ul> <li><span><span>Experience with </span></span><span style="font-weight: bold"><span><span>ETL/ELT tools and data integration</span></span></span><span><span>, including tools like </span><span>Fivetran</span><span> and building/customizing </span></span><span style="font-weight: bold"><span><span>API-based data pipelines</span></span></span><span><span> </span></span><span> </span></li> </ul> <ul> <li><span><span>Comfortable working in </span></span><span style="font-weight: bold"><span><span>customer-facing or consulting environments</span></span></span><span><span>, supporting new implementations in Azure Databricks or Microsoft Fabric </span></span><span> </span></li> </ul> <ul> <li><span><span>Working knowledge of </span></span><span style="font-weight: bold"><span><span>identity and access management concepts</span></span></span><span><span> (e.g., Entra ID users, groups, and permissions)</span><span> </span></span><span> </span></li> </ul> <ul> <li><span><span>Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently</span></span><span> </span></li> </ul> <ul> <li><span><span>Ability to communicate effectively with both technical and non-technical customers and team members</span><span> </span></span><span> </span></li> </ul> <p><span style="font-weight: bold"><span><span>Nice to Have</span></span></span><span> </span></p> <ul> <li><span><span>Experience using </span></span><span style="font-weight: bold"><span><span>AI and automation tools</span></span></span><span><span> to streamline workflows, including exposure to </span></span><span style="font-weight: bold"><span><span>AI agents or intelligent automation frameworks</span></span></span><span> </span></li> </ul> <ul> <li><span><span>Experience configuring private endpoints in Azure</span><span>, including networking setup and DNS configuration</span></span><span> </span></li> </ul> <ul> <li><span><span>Understanding of Power BI and Fabric licensing and how licensing might </span><span>impact</span><span> deployment approach</span></span><span> </span></li> </ul> <ul> <li><span><span>Familiarity with </span></span><span style="font-weight: bold"><span><span>Linux environments</span></span></span><span><span> and cloud-based data ecosystems</span></span><span> </span></li> </ul> <p><span> <br></span><span> </span></p> <p><span style="font-weight: bold"><span><span>Working Location</span></span></span><span><span>: Remote</span><span> (USA)</span><span> </span><span>or hybrid (</span><span>Santa Cruz County, CA</span><span>)</span></span><span> </span></p> <p><span> <br></span><span style="font-weight: bold"><span><span>Compensation:</span></span></span><span><span> The estimated base salary range for this role is $1</span><span>2</span><span>5</span><span>,000-</span><span>155</span><span>,000. There is also an opportunity for a discretionary bonus.</span></span><span> </span></p> <p><span> </span></p> <p><span style="font-weight: bold"><span><span>About Us:</span></span></span><span> </span></p> <p><span><span>At </span><span>QuickLaunch</span><span> Analytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years, </span><span>we’ve</span><span> helped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.</span></span><span> </span></p> <p><span><span>We’re</span><span> a team of 35+ professionals with deep </span><span>expertise</span><span> in Power BI, Databricks, and Azure Cloud. Our culture is built on </span></span><span style="font-weight: bold"><span><span>ownership, collaboration, and continuous learning</span></span></span><span><span>, reflected in strong outcomes for both our customers and our team.</span></span><span> </span></p> <p><span><span>If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact, </span><span>we’d</span><span> love to hear from you.</span></span><span> </span></p>