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?
You will:
- 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
Who you are:
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.
As a Databricks Solution Architect, you will also be expected to be able to be contribute as a member of a client engagement delivery team, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
Requirements:
- 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
This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA. 
