Databricks Solutions Architect 2026- US

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