Delivery Solutions Architect - Startups & Emerging Enterprise

Overview 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 collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers and help ensure customer success by maximizing the value they get out of our platform. This is a hybrid technical and commercial role. It is commercial in that you will drive growth in your assigned customers and use cases by leading stakeholders, building executive relationships, orchestrating specialized teams within Databricks, and creating plans and strategies. It is technical in that you will serve as the post‑sale technical lead across all Databricks products, leveraging your technical credibility to engage and communicate at all levels within an organization. Responsibilities 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 escalates 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 Qualifications 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 deliverables Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high‑stakes escalations with senior customer executives Experience conducting open‑ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects Track record of overachievement against quota, goals, or similar objective targets Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience Can travel up to 30% when needed Pay Range Local Pay Range: $180,000—$247,500 USD Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr Databricks