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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Solutions Architect 2026- US - **Company:** Aimpoint Digital - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Architecture, DevOps, Design of User Interfaces, Apache Hive, Machine Learning, Software Engineering, Unstructured Data, Cloud Platform System, Multi-Agent Systems, Pyspark, Information Technology, Data Analytics, Front End Software Development, Terraform, Data Pipelines, Databricks - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cf1e0ae9a0c6fdc1 ## About the Role Do you have experience in UI development?, We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who is passionate about responsibly deploying AI solutions; specifically, within Databricks. You understand that AI systems aren't a nice to have, but critical the growth of the organizations of the future., * Degree-educated in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience * Strong consulting (7+ years), communication and presentation skills, with the ability to engage and educate a technical audience * Ability to work independently and collaboratively in a fast paced, remote & customer facing setting * Passion for technology and a desire to grow and contribute to the Databricks community * Deep familiarity with Databricks features including AI, ML, Engineering and Analytics features * 7+ years consulting (or equivalent) experience required * 7+ years Databricks solution design, implementation, engineering experience required * Either 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models, building feature stores, building RAG chatbot or other AI systems * Hands on, working, experience w. streaming + front end development experience (e.g. Lakeflow + Databricks Apps) * Hands on, working, knowledge of Agent Ready Data architectures (e.g. Genie, Multi-Agent Orchestration) * Hands on, working, knowledge of Databricks ML and Gen AI features is required * Expertise in software engineering or DevOps concepts & best practices is preferred * Experience in terraform deploying and configuring metastores and workspaces on any cloud platform (AWS, Azure or GCP) highly desirable * Any Databricks certificates are highly regarded * Willingness to travel ## Description Are you an accomplished Solution Architect who wants to grow their Databricks expertise, develop technical content and presentations, and help build the future of AI on Databricks?, * Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases on the Databricks platform, becoming a trusted advisor to our clients from data owners and analytic users to C-level executives * Serve as a Databricks subject matter expert for our internal community of technical analytics consultants and as a company ambassador externally * Provide technical leadership and hands-on delivery on projects in a consulting role * Contribute to the growth of our partnership with Databricks in the UK as a technical leader * Create and deliver engaging technical and thought leadership content (e.g., blogs, webinars, whitepapers, presentations) on the latest Databricks features and best practices * Build and deliver end-to-end technical tool demonstrations of Databricks functionality & interoperability for prospective clients and other enablement * Support channel and sales activities to provide architecture advisory for prospective clients and projects * Contribute to the development and deployment of Aimpoint products on the Databricks platform ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)