Design, implement, and scale data and ai solutions
As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value
Job Summary
As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value.
This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases.
Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement.
Matching Summary
As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value.
Skills & Requirements
Must-have
Databricks Data Intelligence Platform
technical advisor to key customers
design, implement, and scale data and AI solutions
architecture, operational excellence, and customer enablement
post-sales technical lead
build executive relationships
Nice-to-have
aligning people, processes, and technology
leveraging broader ecosystem of experts
customer success, or consulting roles
Key Requirements
5+ years of experience
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
Programming experience in PySpark, SQL or Scala
Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles