Databricks Solutions Architect

Aimpoint Digital

Databricks Solutions Architect delivering AI and Data Engineering solutions. Collaborating on innovative projects and engaging with clients in a fully remote capacity.

Posted 6/17/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

CloudPySparkScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases on the Databricks platform
Serve as a Databricks subject matter expert for our internal community of technical analytics consultants
Provide technical leadership and hands-on delivery on projects in a consulting role
Create and deliver engaging technical and thought leadership content on the latest Databricks features and best practices
Build and deliver end-to-end technical tool demonstrations of Databricks functionality & interoperability
Support channel and sales activities to provide architecture advisory for prospective clients and projects
Contribute to the growth of our partnership with Databricks in the UK as a technical leader

Requirements

What you’ll need

Degree-educated in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience
Strong consulting (7+ years), communication and presentation skills
Ability to work independently and collaboratively in a fast-paced, remote & customer-facing setting
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 OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models
Hands-on, working experience with streaming + front end development experience
Hands-on, working knowledge of Agent Ready Data architectures
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 highly desirable
Any Databricks certificates are highly regarded
Willingness to travel

Benefits

Comp & perks

Fully remote work
Opportunities for professional development and growth
Collaborative work environment
Engagement in innovative AI and Data Engineering projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DatabricksPySparkScalaSpark SQLML EngineeringAI Engineeringdata pipelinesstreaming developmentAgent Ready Data architecturesDevOps

Soft Skills

consultingcommunicationpresentationindependent workcollaborative workcustomer-facingtechnical leadershipthought leadership

Certifications

Databricks certificates