Databricks is hiring a
Delivery Solutions Architect

Summary

Join Databricks as a Delivery Solutions Architect (DSA) to empower customers to solve data problems by utilizing the Intelligence platform. As a DSA, you will collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform in your customers.

Responsibilities

• Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers
• 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 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
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage 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
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
• Develop 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 Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Provide 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