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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?

Aimpoint Digital is a fully remote, rapidly growing AI and Data Engineering consultancy; specializing in enabling tangible business outcomes and ROI for organizations around the globe. AI is fundamentally changes how the world works, and we're looking for an experienced Databricks Solution Architect to join our team and define what the future of AI looks like 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

• Willingness to travel

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Employment Type: FULL_TIME