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 customersLead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accountsBe 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 DatabricksBe 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 organizationsLeverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertiseCreate, 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 proposalsPartner with Databricks Product and Engineering teams on new product innovations, private previews, and upgradesDevelop an execution plan spanning all customer-facing technical roles and teams across the following work streams:Main use cases moving from ‘win’ to productionEnablement / user growth planProduct 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 governanceProvide 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 progressionWhat 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 customersProgramming experience in Python, SQL or ScalaExperience in a customer-facing pre-sales, technical architecture, customer success, or consulting roleUnderstanding of solution architecture for distributed data systemsUnderstanding of how to attribute business value and outcomes to specific project deliverableTechnical program or project management, including accountability for accounts, stakeholders, and resourcesExperience resolving complex, high-stakes escalations with senior customer executivesExperience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projectsTrack record of overachievement against quota, goals, or similar objective targetsBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experienceCan travel up to 30% when neededPay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.Local Pay Range$180,000—$247,500 USDAbout DatabricksDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
19 days ago