仕事内容
<h4><strong>FEQ128R96 / </strong><strong>Stockholm-based</strong><strong><br><br></strong></h4>
<p><strong>The Role</strong><strong><br></strong><strong><br></strong>As a Solutions Architect, you will lead the technical strategy for your customers - owning 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 developing a technical specialisation (archetype) and are recognized within your team for depth in a specific domain.</p>
<p><strong>The Impact You Will Have</strong></p>
<ul>
<li>Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth</li>
<li>Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and 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 specialisation (archetype) - becoming a go-to resource for your team in that domain</li>
<li>Orchestrate cross-functional resources (DSAs, SSAs, 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 customer-facing experience (pre-sales, consulting or advisory) including solutions architecture, data engineering and hands-on technical roles</li>
<li>Strong coding proficiency and hands-on building skills in Python and SQL - you must demonstrate live coding, debugging, and an AI-first builder mindset.</l
求めるスキル
Python
AWS
GCP
Azure
Rust