Description
As a Delivery Solutions Architect (DSA), you will play a crucial role in accelerating the adoption and growth of the Databricks Platform in your customers. You will collaborate with our sales and field engineering teams to drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is a hybrid technical and commercial role that requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization.
Key responsibilities include:
- Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
- Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Being 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
- Being the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
- Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
- Creating, owning, and executing 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
- Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
- Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from 'win' to production
- Enablement/user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
- Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
- Executive and operational governance
- Providing internal and external updates
- KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM
This role requires U.S. citizenship, 7+ years of experience in technical project/program delivery within the domain of Data and AI, programming experience in Python, SQL, or Scala, experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role, understanding of solution architecture related to distributed data systems, and experience in resolving complex and important escalations with senior customer executives.