Delivery Solutions Architect - Startups & Emerging Enterprise

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by 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. It is technical in the sense that you will serve as 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 within an organization. You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

Engage with Solutions Architects to understand the full use case demand plan for prioritized customers

Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts

Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on 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, often spanning multiple use cases within the largest and most complex organizations

Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise

Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals

Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades

Develop an execution plan spanning all customer-facing technical roles and teams across the following 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

Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

What we look for:

5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers

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 for distributed data systems

Understanding of how to attribute business value and outcomes to specific project deliverable

Technical program or project management, including accountability for accounts, stakeholders, and resources