仕事内容
<p>(FEQ128R2)<br><br></p>
<h3><strong>The Role</strong><strong><br></strong></h3>
<p>As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. <br><br>In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering.</p>
<h3><strong>The impact you will have:</strong></h3>
<ul>
<li><strong>Drive Technical Wins & Scope:</strong> Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins.</li>
<li><strong>Architect Production Data Systems:</strong> Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks.</li>
<li><strong>Deploy Interactive Data Applications:</strong> Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools.</li>
<li><strong>AI-Native Engineering:</strong> Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs.</li>
<li><strong>Enablement & Domain Leadership:</strong> Mentor peers, contribute reusable architecture assets, and deli
求めるスキル
Python
LLM
AWS
GCP
Azure
Rust