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
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
Tech Stack
Cloud
PySpark
Scala
Spark
SQL
Terraform
Benefits
Fully remote work
Opportunities for professional development and growth
Collaborative work environment
Engagement in innovative AI and Data Engineering projects