Delivery Solutions Architect

CSQ227R26

Remote, Italy

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on:

• Designing secure, scalable architecture
• Aligning people, processes, and technology
• Establishing trusted advisor relationships
• Leveraging the broader ecosystem of Databricks experts

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 organizations, do architecture reviews, help with performance and cost optimizations, 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/specialized 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.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• 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 organizations
• 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
• 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 (e.g. 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
• 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

What we look for:

• 6-10 years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers
• Programming experience in PySpark, SQL or Scala
• Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program coordination including account and stakeholder management
• Experience resolving complex and important escalation with senior customer technical stakeholders
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30%