Description
We are seeking a Delivery Solutions Architect to join our team. As a Delivery Solutions Architect, you will be a trusted technical advisor to key customers, providing expert guidance that translates data, analytics, and AI challenges into high-impact business value. You will help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement.
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. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organisations, do architecture reviews, help with performance and cost optimisations, demonstrate new capabilities, remove blockers, etc.
In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialised teams within Databricks, and creating and driving onboarding plans.
While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential.
Key responsibilities include:
- 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
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the internal point of contact for any questions related to production/go live status of agreed-upon use cases within an account, often for multiple use cases within the largest and most complex organisations
- Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise
- Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs, presenting them to the customers when applicable for their ongoing developments
- Internal and external updates
- KPI reporting on the status of usage and customer health, risks, and blockers, product adoption, and use case progression to your Field Engineering leadership