Databricks Solutions Architect 2026 - US
As a Databricks Solutions Architect, you will leverage your expertise to deliver complex AI and data analytics solutions, create technical content, and support client engagements.
Acclaro combines cultural and language expertise with AI technology to help brands grow their global presence, connect with customers, and mean something to them. As a trusted partner to some of the worldโs biggest brands and fastest-growing global companies, our mission is to harness the powerful combination of human expertise and cutting-edge technology. We focus on putting brands into the heads, hearts, and hands of people everywhere. Our AI-powered business management and language platform ensures a faster time to market with measurable results, while our global team of language, country, and technology experts crafts localization strategies that empower our customers to succeed in any market.
Are you an experienced localization professional or linguistic QA specialist?
We are seeking seasoned Farsi Linguistic Testers with a background in software localization and IT terminology to join our global linguistic community. In this role, you will perform linguistic QA on cutting-edge software applications and AI models for the Farsi market. If you bring strong LQA experience, deep cultural expertise, and own an M-Series Mac, we want to partner with you.
As a Senior Farsi Linguistic Tester, you will:
Requirements
To qualify for this position, candidates must meet the following criteria:
Benefits
As a Databricks Solutions Architect, you will leverage your expertise to deliver complex AI and data analytics solutions, create technical content, and support client engagements.
Build and own Supabaseโs AI developer tooling, including agents, MCP, and dashboard assistance, while using evaluations and metrics to improve quality, reliability, and developer experience.
Build and deliver AI-powered healthcare products, developing full-stack features, APIs, backend services, and LLM integrations while collaborating with product and clinical teams and applying software, DevOps, and MLOps practices.
Build and scale applied AI solutions across product design, marketing, supply chain, retail operations, and customer experience, from rapid prototypes to production-grade systems.
Embed with customer teams to discover high-impact problems, build and harden production AI agents and workflows, own measurable outcomes, and feed field learnings back into product engineering.