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.At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Data Intelligence Platform. As a Senior Delivery Solutions Engineer (Sr DSE), you will play an important role during this journey.You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your accounts. You will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected.This is a hybrid technical and commercial role.
It is commercial in the sense that you will own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.You will report directly to the Senior Manager for Delivery Solutions Architects in the region as part of the Field Engineering organisation.The impact you will have:Assist strategic customers in deploying or migrating their use cases and workloads into production on Databricks Lakehouse, leading the post-win technical account strategy/execution planBe the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success,
go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.Develop an execution plan that covers all activities of all customer-facing technical roles and teamsBe the first contact for any technical challenges or questions related to production/go-live status of agreed upon Use Cases in your assigned customers.Leverage the User Education, Technical Services and Support teams, and escalate to technical experts for requests that are beyond your scope of activities or expertise.Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.Provide internal and external updates on progress and risks/blockers to your leadership.What we look for:5+ years of experience where you have been accountable for technical project delivery within the data domain,
contributing directly to technical debate and design choices with customers.Technical hands-on experience with a key programming language (i.E. Python, SQL or Scala).A continuous learner, able to keep pace with the fast evolution of the Data & AI domain.Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
