Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)

<p>FEQ227R367<br><br>As a Data Engineering and Warehousing Specialist Solutions Architect (SSA), you will lead the advanced technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.<br><br>This position can be remote.&nbsp;</p> <p><strong data-renderer-mark="true">The Impact You Will Have<br></strong></p> <ul> <li>Own the end-to-end technical strategy for your accounts, from discovery through production deployment and consumption growth</li> <li>Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering and&nbsp;real-time analytics</li> <li>Serve as a trusted technical advisor to customer architects, engineering leads, and Directors</li> <li>Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions</li> <li>Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain</li> <li>Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs</li> <li>Influence product direction by providing structured feedback on customer requirements and competitive gaps</li> </ul> <p><strong>What We Look For</strong></p> <ul> <li>6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:<br> <ul> <li data-path-to-node="5,0,0">Data and Software Engineering:&nbsp;Deep hands-on experience with <span data-path-to-node="9,1,1,0,0" data-index-in-node="0">Apache Spark™ ecosystem (Spark Core, S